reflect on what you want from your current/future employment, and record your thoughts over the course of the module in the form of a reflective journal.

Authorised: Dean
of School
Owner:
Dean of School
Approved
by: SQC
Date:
28th June 2004
Revised: 17th July 2006
Ref:UWBS038g Assessment Briefing for
Students

.gif”>

UWBS038g
Assessment Briefing for Students

Academic Year:
2015 / 16

Semester 1 (City Campus)

Module code:

4HR002

Module title:

Introduction to People at Work

Subject Area:

HR

Module Leader:

Andrew Hambler

Assessment brief number (and title where applicable):

1 Personal Blog: Reflective Journal

Component / Element
(Please delete as appropriate)

Weighting:
50 %

Assessment Brief/ Task

For this assignment you are required to
reflect on what you want from your current/future employment, and record your
thoughts over the course of the module in the form of a reflective journal.
Your work should consist of 3 clear parts:
1. Introductory evaluation:
You should consider at the outset of the module what you think are the
important factors you are seeking in any future job. You might like to base your evaluation on
previous experiences of work, or of school or college study. For example, do you enjoy working alone or
with others? Do you like being given
responsibility? Do you think you would
enjoy varied work, or do you prefer to stick with familiar activities? Is
money important to you, or are you more interested in work which is
meaningful, or where you can make a difference? Do you want to work for a large or small
organisation, for yourself? These are
only a few of the issues you may want to discuss. Try to explain why these
are important to you.
2. A regular record of your thoughts
and how they develop in the light of what you are learning on the
module. You MUST show in this section
how your reading and learning in class is informing your thoughts and your
work must include references to appropriate theory and how you are applying
it to your own experience. You may include your reflections in the form of
appendices in order to make the most of word count limitations. You must
include at least 5 entries.

3. A final conclusion indicating how
and whether and how your thoughts about your future work aspirations and
ambitions have changed in the light of your learning and experiences on this
module.
You should ensure that you include any references to theory or
research of relevance in appropriate Harvard referencing format. Whenever you
discuss research or theory, you must clearly show your sources. Avoid anonymous web sources (including
Wikipedia!) whose content may be unreliable.

Important requirements

(Delete where appropriate, if other please provide
detail)
Mode of Working: Individual

Presentation Format: Reflective
journal
Mark required to pass: 40%

Assessment limits : 2000 words

Hand in date:
Monday 21 December 2015 by 12 noon

Assessment should be marked for the attention of: Your module tutor NOT the module leader

Preferred hand in location:
Electronic submission ONLY via
WOLF

Alwayskeep a copy of your work.
Alwayskeep a file of working papers
(e.g. photocopied articles) that support the sources used in your work.

The following detail is important when:
Preparing for your assessment
Checking your work before submission
When interpreting your grade and feedback after
marking. (Note that your work will not
be returned to you so always keep a copy of your work for this purpose.)

Learning Outcomes Tested
(Insert detail)

An understanding of
how theory and research might explain individual behaviour in the workplace.

Assessment Criteria(Insert
detail)

1.
Knowledge and understanding: of
theory/research relating to individualbehaviour in
the workplace
2.
Reflection: Evidence of genuine personal reflection and attempt to
consider how theory/research might impact on personal thoughts
3.
Communication: ability to communicate clearly using effective and
appropriate English, and accurate Harvard referencing format where required.

Performance descriptors (by grade) (Insert detail)

See below

To help you
further:

Refer to module guide for contact details of module leader and
Departmental Administrator
Resit details will be posted on WOLF

Detail of tutorial
inputs, etc.

Briefing-week 1

Recommended reading
and other sources

See class schedule.

Checklist!!

A. Have you
completed each of the following:
1.
Initial assessment of what you want from work (at outset of
module)
2.
Weekly reflections on how your learning is re-shaping your
ideas about what you want
3.
A final conclusion about what you desire from future work
based on both of the above
B. Have you
ensured that your work includes reference to some theory/research to which
you have been introduced during the module?
C. Is your work
clearly structured, well written and properly referenced?
D. Have you
genuinely included PERSONAL reflections about what you desire from work,
rather than an abstract discussion about theory? Remember, this assignment is
about YOU!

You may wish to
visit some of the web pages detailed below for advice on your work.

Grammar

.monash.edu.au/lls/llonline/grammar/index.xml”>http://www.monash.edu.au/lls/llonline/grammar/index.xml

.uow.edu.au/writing/1b.html”>http://unilearning.uow.edu.au/writing/1b.html

Inappropriate
style?

.monash.edu.au/lls/llonline/writing/index.xml”>http://www.monash.edu.au/lls/llonline/writing/index.xml

Paraphrasing

.wisc.edu/Handbook/QPA_paraphrase2.htm”>http://writing.wisc.edu/Handbook/QPA_paraphrase2.html

Punctuation

.wlv.ac.uk/Level4.asp?UserType=4&Level4=636″>http://asp.wlv.ac.uk/Level4.asp?UserType=4&Level4=636

.uow.edu.au/writing/1c.html”>http://unilearning.uow.edu.au/writing/1c.html

Writing
skills

.wlv.ac.uk/Level3.asp?UserType=11&Level3=2159″>http://asp.wlv.ac.uk/Level3.asp?UserType=11&Level3=2159

Avoiding
Academic Misconduct

Warning
Collusion, plagiarism and cheating are
very serious offences that can result in a student being expelled from the
University. The business school has a
policy of actively identifying students who engage in academic misconduct of
this nature and routinely applying detection techniques including the use of
sophisticated software packages.
Avoid Collusion
The business school encourages group
working, however to avoid collusion always work on your own in order to
complete your individual assessments.
Do not let fellow students have access to your work before it is
submitted and do not be tempted to access the work of others. Refer to your module tutor if you do not
understand or you need further guidance.
Avoid
Plagiarism
You must use
available and relevant literature to demonstrate your knowledge of a subject,
however to avoid plagiarism you must take
great care to acknowledge it properly.
You should therefore always use of the Harvard style referencing
system in all cases.
(For further guidance go to .wlv.ac.uk/lib”>www.wlv.ac.uk/lib
and from the menu that then appears, make these choices in turn: Study
skills, referencing, Harvard Citation).
Plagiarism
is the act of stealing someone else’s work and passing it off as your
own. This includes incorporating
either unattributed direct quotation(s) or substantial paraphrasing from the
work of another/others. For this
reason it is important that you cite all the sources whose work you have
drawn on and reference them fully in accordance with the Harvard referencing
standard.
Extensive
direct quotations in assessed work is ill advised because:
It
represents a poor writing style that is unlikely to meet the pass grade marking
criteria, and it could lead to omission errors and a plagiarism offence could
be committed accidentally.
Maximising the benefits of
team working
Individual
assessment must represent an effort prepared and submitted by you. It will contain your solutions to
exercises set during the delivery of the module. (Your submission may reflect some
contributions arising from group working and classroom presentations).
Always:
Maintain
a file of evident (e.g. academic papers used in preparing your assignment)
Submit
an electronic copy (e.g. a disk or CD) of all written assessments in addition
to paper copies.

Performance Descriptors: Blog/Reflective Journal

Work of an outstanding or
excellent standard.
70% – 100%

Work of a very good standard. Above average
60% – 69%

Work of a competent average standard. Good.
50 59%

Work of a satisfactory standard.
40 49%

Work of an unsatisfactory standard.
Below 40%

Identification and full
understanding of requirements of the assessment. Excellent examples used to illustrate
personal reflections. Evidence of independent thinking, and convincing
attempts to demonstrate genuine and thoughtful personal reflection.

Very good understanding of the
requirements of the assessment .Good level of reflection and some independent
thought.

Generally sound understanding of
basic theory and concepts. Content relevant to the question/task. Competently
deals with relating theory and research to personal reflection.

Some evidence of understanding
of basic requirements. Content in the main relevant but limited or little
application of theory to personal reflection, or superficial/ limited
evidence of reflection.

Superficial treatment of issues.
Content not relevant to topic set. Material merely repeats taught input.
Lacks understanding of basic theory/concepts. Possible use of extensive
quoted passages.

Evidence of wide reading.
Demonstrates mature use of material, including looking for meanings and
highly appropriate application of theoretical framework/models and research.

Evidence of reading around the
topic beyond basic texts. Independent thinking evidenced through use of
material with good application of theory to the topic/issues

Evidence of reading of
recommended texts. Sound use of material relevant to the topic/issues.

Material is relevant but largely
repeats taught input without any further development. Work tends to be
uncritical in the material used and generally overly descriptive

No evidence of independent
thinking or use of theory/research.
Wholly Descriptive.
No evidence of application of
theory.

Excellent
fluid writing style, virtually free from grammatical and spelling errors.
Format wholly appropriate for task and audience. research sources clearly and
properly referenced

Generally
good use of grammar, punctuation and spelling. Ideas clearly explained.
Appropriate style/format used. Uses a good range of sources well referenced.

Grammatically
competent but some minor spelling errors or clumsiness in expression. Solid
attempt at referencing

Errors in grammar, punctuation and/or
spelling. Clumsiness of expression but does not prevent argument emerging. Sources usually given but not systematically or
consistently.

Serious
errors frequently enough to impede/prevent understanding by reader.
Inadequate referencing.

Authorised: Dean
of SchoolOwner:
Dean of SchoolApproved
by: SQCDate:
28th June 2004Revised: 17th July 2006Ref:UWBS038g Assessment Briefing for
Students.gif”>Academic Year:2015 / 16Semester 1 (City Campus)Module code:4HR002Module title: Introduction to People at WorkSubject Area:HRModule Leader:Andrew HamblerAssessment brief number (and title where applicable):
1 Personal Blog: Reflective Journal Component / Element(Please delete as appropriate)Weighting: 50 %Assessment Brief/ TaskFor this assignment you are required to
reflect on what you want from your current/future employment, and record your
thoughts over the course of the module in the form of a reflective journal. Your work should consist of 3 clear parts:1. Introductory evaluation:
You should consider at the outset of the module what you think are the
important factors you are seeking in any future job. You might like to base your evaluation on
previous experiences of work, or of school or college study. For example, do you enjoy working alone or
with others? Do you like being given
responsibility? Do you think you would
enjoy varied work, or do you prefer to stick with familiar activities? Is
money important to you, or are you more interested in work which is
meaningful, or where you can make a difference? Do you want to work for a large or small
organisation, for yourself? These are
only a few of the issues you may want to discuss. Try to explain why these
are important to you. 2. A regular record of your thoughts
and how they develop in the light of what you are learning on the
module. You MUST show in this section
how your reading and learning in class is informing your thoughts and your
work must include references to appropriate theory and how you are applying
it to your own experience. You may include your reflections in the form of
appendices in order to make the most of word count limitations. You must
include at least 5 entries.
3. A final conclusion indicating how
and whether and how your thoughts about your future work aspirations and
ambitions have changed in the light of your learning and experiences on this
module. You should ensure that you include any references to theory or
research of relevance in appropriate Harvard referencing format. Whenever you
discuss research or theory, you must clearly show your sources. Avoid anonymous web sources (including
Wikipedia!) whose content may be unreliable.Important requirements(Delete where appropriate, if other please provide
detail)Mode of Working: Individual
Presentation Format: Reflective
journalMark required to pass: 40%Assessment limits : 2000 words Hand in date:
Monday 21 December 2015 by 12 noonAssessment should be marked for the attention of: Your module tutor NOT the module leaderPreferred hand in location:
Electronic submission ONLY via
WOLF Alwayskeep a copy of your work.Alwayskeep a file of working papers
(e.g. photocopied articles) that support the sources used in your work.The following detail is important when:Preparing for your assessmentChecking your work before submissionWhen interpreting your grade and feedback after
marking. (Note that your work will not
be returned to you so always keep a copy of your work for this purpose.)Learning Outcomes Tested(Insert detail)An understanding of
how theory and research might explain individual behaviour in the workplace.Assessment Criteria(Insert
detail)1.
Knowledge and understanding: of
theory/research relating to individualbehaviour in
the workplace2.
Reflection: Evidence of genuine personal reflection and attempt to
consider how theory/research might impact on personal thoughts3.
Communication: ability to communicate clearly using effective and
appropriate English, and accurate Harvard referencing format where required.Performance descriptors (by grade) (Insert detail)See belowTo help you
further:Detail of tutorial
inputs, etc.Briefing-week 1Recommended reading
and other sources See class schedule.Checklist!!A. Have you
completed each of the following:1.
Initial assessment of what you want from work (at outset of
module)2.
Weekly reflections on how your learning is re-shaping your
ideas about what you want3.
A final conclusion about what you desire from future work
based on both of the aboveB. Have you
ensured that your work includes reference to some theory/research to which
you have been introduced during the module?C. Is your work
clearly structured, well written and properly referenced?D. Have you
genuinely included PERSONAL reflections about what you desire from work,
rather than an abstract discussion about theory? Remember, this assignment is
about YOU!You may wish to
visit some of the web pages detailed below for advice on your work.Grammar.monash.edu.au/lls/llonline/grammar/index.xml”>http://www.monash.edu.au/lls/llonline/grammar/index.xml.uow.edu.au/writing/1b.html”>http://unilearning.uow.edu.au/writing/1b.htmlInappropriate
style?.monash.edu.au/lls/llonline/writing/index.xml”>http://www.monash.edu.au/lls/llonline/writing/index.xmlParaphrasing.wisc.edu/Handbook/QPA_paraphrase2.htm”>http://writing.wisc.edu/Handbook/QPA_paraphrase2.htmlPunctuation.wlv.ac.uk/Level4.asp?UserType=4&Level4=636″>http://asp.wlv.ac.uk/Level4.asp?UserType=4&Level4=636.uow.edu.au/writing/1c.html”>http://unilearning.uow.edu.au/writing/1c.htmlWriting
skills.wlv.ac.uk/Level3.asp?UserType=11&Level3=2159″>http://asp.wlv.ac.uk/Level3.asp?UserType=11&Level3=2159Avoiding
Academic MisconductWarningCollusion, plagiarism and cheating are
very serious offences that can result in a student being expelled from the
University. The business school has a
policy of actively identifying students who engage in academic misconduct of
this nature and routinely applying detection techniques including the use of
sophisticated software packages.Avoid CollusionThe business school encourages group
working, however to avoid collusion always work on your own in order to
complete your individual assessments.
Do not let fellow students have access to your work before it is
submitted and do not be tempted to access the work of others. Refer to your module tutor if you do not
understand or you need further guidance.Avoid
PlagiarismYou must use
available and relevant literature to demonstrate your knowledge of a subject,
however to avoid plagiarism you must take
great care to acknowledge it properly.
You should therefore always use of the Harvard style referencing
system in all cases.(For further guidance go to .wlv.ac.uk/lib”>www.wlv.ac.uk/lib
and from the menu that then appears, make these choices in turn: Study
skills, referencing, Harvard Citation).Plagiarism
is the act of stealing someone else’s work and passing it off as your
own. This includes incorporating
either unattributed direct quotation(s) or substantial paraphrasing from the
work of another/others. For this
reason it is important that you cite all the sources whose work you have
drawn on and reference them fully in accordance with the Harvard referencing
standard.Extensive
direct quotations in assessed work is ill advised because:It
represents a poor writing style that is unlikely to meet the pass grade marking
criteria, and it could lead to omission errors and a plagiarism offence could
be committed accidentally.Maximising the benefits of
team workingIndividual
assessment must represent an effort prepared and submitted by you. It will contain your solutions to
exercises set during the delivery of the module. (Your submission may reflect some
contributions arising from group working and classroom presentations).Always:Maintain
a file of evident (e.g. academic papers used in preparing your assignment)Submit
an electronic copy (e.g. a disk or CD) of all written assessments in addition
to paper copies.

Work of an outstanding or
excellent standard.70% – 100%Work of a very good standard. Above average60% – 69%Work of a competent average standard. Good. 50 59%Work of a satisfactory standard.40 49%Work of an unsatisfactory standard.Below 40%Identification and full
understanding of requirements of the assessment. Excellent examples used to illustrate
personal reflections. Evidence of independent thinking, and convincing
attempts to demonstrate genuine and thoughtful personal reflection.Very good understanding of the
requirements of the assessment .Good level of reflection and some independent
thought.Generally sound understanding of
basic theory and concepts. Content relevant to the question/task. Competently
deals with relating theory and research to personal reflection.Some evidence of understanding
of basic requirements. Content in the main relevant but limited or little
application of theory to personal reflection, or superficial/ limited
evidence of reflection.Superficial treatment of issues.
Content not relevant to topic set. Material merely repeats taught input.
Lacks understanding of basic theory/concepts. Possible use of extensive
quoted passages.Evidence of wide reading.
Demonstrates mature use of material, including looking for meanings and
highly appropriate application of theoretical framework/models and research. Evidence of reading around the
topic beyond basic texts. Independent thinking evidenced through use of
material with good application of theory to the topic/issuesEvidence of reading of
recommended texts. Sound use of material relevant to the topic/issues.Material is relevant but largely
repeats taught input without any further development. Work tends to be
uncritical in the material used and generally overly descriptiveNo evidence of independent
thinking or use of theory/research.Wholly Descriptive.No evidence of application of
theory.Excellent
fluid writing style, virtually free from grammatical and spelling errors.
Format wholly appropriate for task and audience. research sources clearly and
properly referencedGenerally
good use of grammar, punctuation and spelling. Ideas clearly explained.
Appropriate style/format used. Uses a good range of sources well referenced.Grammatically
competent but some minor spelling errors or clumsiness in expression. Solid
attempt at referencingErrors in grammar, punctuation and/or
spelling. Clumsiness of expression but does not prevent argument emerging. Sources usually given but not systematically or
consistently.Serious
errors frequently enough to impede/prevent understanding by reader.
Inadequate referencing.


 

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Identify your goals and objectives. How will you measure your objectives? How will your plan affect your work/life balance?

 

Identify your goals and objectives. How will you measure your objectives? How will your plan affect your work/life balance? What trends in the workplace, economy, and marketplace do you need to be aware of that could influence your plan?

Examine the critical skills and competencies required to achieve success. What transferable skills do you have and how can these skills be leveraged if you decide to take a different career or life path? How can your professional experience help you plan for the next 5 years of your career?

What career-related training, formal education, and/or certifications do you need to help meet your career goals? Would it be helpful to join and participate in a professional association? Would it be useful to you to have a mentor?

List job satisfaction attributes. What specific work environment attributes would provide satisfaction?

While not a research paper, your paper should include at least three academic references.


 

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Determine the annual emission of sulfur dioxide, mSO2, in metric tons, from this power plant, if the net generating capacity of the plant is 600 MW, and the boiler is 88% efficient in transferring combustion heat into the feedwater superheat and steam reheat stages.

A coal-fired steam power plant operates on the ideal Rankine
cycle. Feedwater from the condenser at P1 = 10 kPa is pumped to the
boiler at P2 = P3 = 20 MPa, where it is superheated and exits the
boiler at T3 = 550 °C.
The moisture content in the turbine is not to exceed 12% (i.e.
steam quality is to be maintained above x = 0.88 throughout the
turbine). Up to two reheat stages can be added to the steam cycle
to satisfy this requirement. If needed, one stage can be added to
reheat the steam to T5 = 525 °C at P4 = P5 = 10 MPa. If more
reheating is required, a second stage can be added to reheat the
steam to T7 = 500 °C at P6 = P7 = 2.5 MPa. (There is a process diagram for single reheat in the attached file.)
a. How many reheat stages are required for this power plant (no
reheat, single reheat, or double reheat)? Provide claculations in support of the answer.
(1) -> pump–>
(2) -> boiler–> (3) -> turbine–> (4)
->boiler–> (5)-> turine–> (6)–> (possible extra
stages) -> condenser> – not so sure if this is the right answer to the question.
b. What is the thermal efficiency ? th of the power cycle?
c. Determine the annual emission of sulfur dioxide, mSO2, in
metric tons, from this power plant, if the net generating capacity
of the plant is 600 MW, and the boiler is 88% efficient in
transferring combustion heat into the feedwater superheat and steam
reheat stages. The boiler burns, to completion, a coal that has a
heating value of 22,800 kJ/kg and contains 0.46 wt% sulfur.
Assume that all of the sulfur content of the coal is emitted as
SO2 in the combustion flue gas, and that the coal-burning plant has
a capacity factor of 0.85; i.e. the boiler is operational for 85%
of the hours in one calendar year. (1 metric ton = 1000 kg)


 

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demonstrate that you understand how to determine which univariate models are acceptable, and then select a preferred univariate model from amongst the acceptable univariate models

eek Three
Homework Assignment – Linear Regression

The personnel director for a local manufacturing firm has
received complaints from the employees in a certain shop regarding what they
perceive to be inequities in the annual salary for employees who have similar
performance ratings, years of service and relevant certifications. The personnel director believes that an
employees pay in this particular shop should be positively correlated to their
prior performance rating, years of service and relevant certifications. The personnel director has collected the data
shown in the following table pertaining to the employees within the shop.

Employee

Current Annual Salary
(Thousands)

Average Performance Rating for
Past 3 Years
(5 point scale)

Years of Service

Number of Relevant
Certifications

1

48.2

2.18

9

6

2

55.3

3.31

20

6

3

53.7

3.18

18

7

4

61.8

3.62

33

7

5

56.4

2.62

31

8

6

52.5

3.75

13

6

7

54.0

4.25

25

6

8

55.7

3.43

30

4

9

45.1

1.93

5

6

10

67.9

4.5

47

8

11

53.2

2.81

25

5

12

46.8

3.06

11

6

13

58.3

5

23

8

14

59.1

4.06

35

7

15

57.8

4.12

39

5

16

48.6

2.31

21

4

17

49.2

3.87

7

6

18

63.0

4.37

40

7

19

53.0

2.5

35

6

20

50.9

2.81

23

4

21

55.4

3.68

33

5

22

51.8

3.5

27

4

23

60.2

3

34

8

24

50.1

2.43

15

5

The personnel director is interested in creating a linear
regression model that can be used to estimate the annual salary an employee might
expect to receive based upon his or her past performance, years of service and/or
number of relevant certifications. The
regression model will be used as a basis for determining whether or not there
is any validity to the employees complaints regarding salary inequities.

Perform each of the following seven regression
analyses using a 95% confidence level.

Annual salary vs. average performance
rating for the past 3 years

Annual salary vs. years of service

Annual salary vs. number of relevant
certifications

Annual salary vs. average performance
rating for the past 3 years and years of service

Annual salary vs. average performance
rating for the past 3 years and number of relevant certifications

Annual salary vs. years of service and
number of relevant certifications

Annual salary vs. average performance
rating for the past 3 years, years of service and number of relevant
certifications

Hint: Refer to
the handouts posted on Blackboard pertaining to interpreting regression
statistics in order to determine if a given regression model is acceptable. This same handout also provides guidance
regarding how to select a preferred regression model from amongst multiple
acceptable regression models, including models with differing numbers of
independent variables.

Hint: For the purposes
of this homework assignment, the minimum difference between the R2or
Adjusted R2 values for two acceptable models with differing numbers
of independent variables that would favor selecting the model with the larger
number of independent variables is 0.03.
Please ensure that you fully understand the process for selecting a
preferred model before attempting to apply this criterion.

Hint: Question 19 is
intended to have you demonstrate that you understand how to determine which
univariate models are acceptable, and then select a preferred univariate model
from amongst the acceptable univariate models. Question 20 is intended to have you demonstrate
that you understand how to determine which bivariate models are acceptable, and
then select a preferred bivariate model from amongst the acceptable bivariate
models. Question 21 is intended to have you demonstrate that you
understand how to select a preferred model from amongst multiple acceptable
models that have differing numbers of independent variables. Question 22 is intended to have you
demonstrate that you understand how to determine if the trivariate model is
acceptable, and then select a preferred model from amongst multiple acceptable
models.

Hint: For questions 24
and 25, you need to use the regression equation associated with the preferred
model selected for question 22 in order to calculate the predicted salary for
each of the 24 employees. In order to answer questions 24 and 25 you need
to keep in mind that the predicted salary value for each employee is only
a point estimate (this concept was discussed in week one relative to the
mean). While a point estimate is a precise value, it is not
necessarily an accurate value since the standard error value tells us there is
some potential degree of error associated with using the preferred regression model
to predict salary values. In order to answer questions 24 and 25 you will
need to create an interval estimate (this concept was also discussed during
week one relative to the mean) for the predicted salary for each of the 24
employees. To calculate the interval estimate for each employee, simply
multiply the standard error value for the preferred regression model by 1.5 and
then subtract this value from the predicted point estimate salary value
to define the lower limit of the interval estimate and add this value
to the predicted point estimate salary value to define the upper limit for the
interval estimate. Once you have created
an interval estimate for each employee, you will then need to compare each
employee’s current salary to their corresponding interval estimate in order to determine
if each employee’s current salary falls within their predicted interval
estimate.

Use the results for the
univariate regression analysis for annual salary vs. average performance rating
for the past 3 years in order to answer questions 1 through 14.

1. What
is the degree of correlation between the dependent variable and the independent
variable?
o 0.8198
o 0.6672
o 0.7862
o 0.6523

2. Does
the regression model confirm a positive correlation between the dependent
variable and the independent variable as hypothesized?
o Yes
o No

3. What
is the desired statistical significance for the regression model?
o 0.00
o 0.01
o 0.05
o 0.10

4. Is
the statistical significance of the model as a whole less than the desired
statistical significance for the regression model?
o Yes
o No

5. What
is the actual confidence level for the regression model as a whole?
o 99.97%
o 95%
o 90.5%
o 80.2%

6. Is
the statistical significance of the linear relationship between the dependent
and independent variables less than the desired statistical significance for
the regression model?
o Yes
o No

7. Should
the coefficient of determination or adjusted coefficient of determination be
used to evaluate this regression model?
o Coefficient
of determination
o Adjusted
coefficient of determination

8. What
percentage of the observed variation between the actual values of the dependent
variable and the mean value of the dependent variable in the sample data set is
explained by the regression model?
o 44.51%
o 66.72%
o 41.99%
o 76.24%

9. What
is the amount by which we will be off on average when predicting values for the
dependent variable using the regression model?
o $12,287
o $32,966
o $4,169
o $25,896

10. What is the
coefficient for the y-intercept for the regression model?
o 39.38
o 19.94
o 12.29
o 2.96

11. What is the
coefficient for the independent variable for the regression model?
o 63.08
o 4.52
o 12.29
o 2.96

12. What is the
point estimate for the predicted salary for an employee with an average
performance rating of 3.9?
o $71,562
o $57,006
o $41,299
o $50,896

13. What is the
interval estimate for the predicted salary for an employee with an average
performance rating of 3.9 based upon taking into consideration the standard
error?
o $61,913
– $71,562
o $57,006
– $64,159
o $52,837
– $61,175
o $54,896
– $60,873

14. What is the
95% confidence level interval estimate for the salary for an employee with an
average performance rating of 3.9?
o $60,265
85,789
o $75,412
– $78,523
o $40,636
– $73,376
o $65,141
– $72,269

Perform a correlation
analysis between the dependent variable and each of the three independent
variables. Use the results of the
correlation analysis to answer questions 15 and 16.

15. Which
independent variables evidence a positive correlation with the dependent
variable?
o
Average
performance rating for the past 3 years
o
Years
of service
o
Number
of relevant certifications
o All
of the above
o None
of the above

16. Which
independent variable evidences the highest degree of correlation with the
dependent variable?
o
Average
performance rating for the past 3 years
o
Years
of service
o
Number
of relevant certifications
o All
of the above
o None
of the above

Perform a correlation
analysis between each of the three pairs of independent variables. Use the results of the correlation analyses
to answer question 17.

17. Which pair
of independent variable evidences a degree of collinearity that should be cause
for concern when performing multivariate linear regression (i.e., evidences a
degree of correlation in excess of 0.5)?
o
Average
performance rating for the past 3 years vs. years of service
o
Average
performance rating for the past 3 years vs. number of relevant certifications
o
Years
of service vs. number of relevant certifications
o All
of the above
o None
of the above

Use the regression
statistics pertaining to all seven regression analyses in order to answer
questions 15 through 23.

18.
Of
the seven regression models, which model both accounts for the lowest
percentage of the observed variation between the actual values of the dependent
variable and the mean value of the dependent variable in the sample data set
and evidences the highest degree of error for predicting values for the
dependent variable?
o
Annual
salary vs. average performance rating for the past 3 years
o
Annual
salary vs. years of service
o
Annual
salary vs. number of relevant certifications
o
Annual
salary vs. average performance rating for the past 3 years and years of service
o
Annual
salary vs. average performance rating for the past 3 years and number of
relevant certifications
o
Annual
salary vs. years of service and number of relevant certifications
o
Annual
salary vs. average performance rating for the past 3 years, years of service
and number of relevant certifications

19.
If
you were to consider only the three regression models that are based upon a
single independent variable, which of the following models would be your
preferred model?
o
Annual
salary vs. average performance rating for the past 3 years
o
Annual
salary vs. years of service
o
Annual
salary vs. number of relevant certifications

20.
If
you were to consider only the three regression models that are based upon two
independent variables, which of the following models would be your preferred
model?
o
Annual
salary vs. average performance rating for the past 3 years and years of service
o
Annual
salary vs. average performance rating for the past 3 years and number of
relevant certifications
o
Annual
salary vs. years of service and number of relevant certifications

21.
If
you were to compare the preferred regression model based upon a single
independent variable with the preferred regression model based upon two
independent variables, which model would be preferred overall?
o
Preferred
regression model based upon a single independent variable
o
Preferred
regression model based upon two independent variables

22.
When
you consider all seven regression models, which is the overall preferred regression
model?
o
Annual
salary vs. average performance rating for the past 3 years
o
Annual
salary vs. years of service
o
Annual
salary vs. number of relevant certifications
o
Annual
salary vs. average performance rating for the past 3 years and years of service
o
Annual
salary vs. average performance rating for the past 3 years and number of
relevant certifications
o
Annual
salary vs. years of service and number of relevant certifications
o
Annual
salary vs. average performance rating for the past 3 years, years of service
and number of relevant certifications

23.
Do
any of the regression models offer a higher confidence level for the model as a
whole, or a lower standard error in comparison to the overall preferred model?
o
Yes
o
No

The personnel is interested in comparing each employees
actual salary to their predicted salary in order to determine if there are any
prevailing salary inequities. Suppose
the personnel director considers an employees current salary to be fair and
reasonable if it is within plus or minus 1.5 standard errors of the value
estimated by the regression model selected in response to question 22. For each individual employee, calculate his
or her estimated salary using the regression model selected in response to
question 22, as well calculate his or her upper and lower limits for a fair
reasonable salary, in order to answer questions 24 and 25.

24.
Of
the 24 employees, how many employees current salary is below what is
considered fair and reasonable?
o
0
o
1
o
2
o
3
o
4
o
5

25.
Of
the 24 employees, how many employees current salary is above what is
considered fair and reasonable?
o
0
o
1
o
2
o
3
o
4
o
5Week Three
Homework Assignment – Linear Regression The personnel director for a local manufacturing firm has
received complaints from the employees in a certain shop regarding what they
perceive to be inequities in the annual salary for employees who have similar
performance ratings, years of service and relevant certifications. The personnel director believes that an
employees pay in this particular shop should be positively correlated to their
prior performance rating, years of service and relevant certifications. The personnel director has collected the data
shown in the following table pertaining to the employees within the shop.EmployeeCurrent Annual Salary(Thousands)Average Performance Rating for
Past 3 Years(5 point scale)Years of ServiceNumber of Relevant
Certifications148.22.1896255.33.31206353.73.18187461.83.62337556.42.62318652.53.75136754.04.25256855.73.43304945.11.93561067.94.54781153.22.812551246.83.061161358.352381459.14.063571557.84.123951648.62.312141749.23.87761863.04.374071953.02.53562050.92.812342155.43.683352251.83.52742360.233482450.12.43155The personnel director is interested in creating a linear
regression model that can be used to estimate the annual salary an employee might
expect to receive based upon his or her past performance, years of service and/or
number of relevant certifications. The
regression model will be used as a basis for determining whether or not there
is any validity to the employees complaints regarding salary inequities.Perform each of the following seven regression
analyses using a 95% confidence level.
Annual salary vs. average performance
rating for the past 3 years
Annual salary vs. years of service
Annual salary vs. number of relevant
certifications
Annual salary vs. average performance
rating for the past 3 years and years of service
Annual salary vs. average performance
rating for the past 3 years and number of relevant certifications
Annual salary vs. years of service and
number of relevant certifications
Annual salary vs. average performance
rating for the past 3 years, years of service and number of relevant
certificationsHint: Refer to
the handouts posted on Blackboard pertaining to interpreting regression
statistics in order to determine if a given regression model is acceptable. This same handout also provides guidance
regarding how to select a preferred regression model from amongst multiple
acceptable regression models, including models with differing numbers of
independent variables.Hint: For the purposes
of this homework assignment, the minimum difference between the R2or
Adjusted R2 values for two acceptable models with differing numbers
of independent variables that would favor selecting the model with the larger
number of independent variables is 0.03.
Please ensure that you fully understand the process for selecting a
preferred model before attempting to apply this criterion.Hint: Question 19 is
intended to have you demonstrate that you understand how to determine which
univariate models are acceptable, and then select a preferred univariate model
from amongst the acceptable univariate models. Question 20 is intended to have you demonstrate
that you understand how to determine which bivariate models are acceptable, and
then select a preferred bivariate model from amongst the acceptable bivariate
models. Question 21 is intended to have you demonstrate that you
understand how to select a preferred model from amongst multiple acceptable
models that have differing numbers of independent variables. Question 22 is intended to have you
demonstrate that you understand how to determine if the trivariate model is
acceptable, and then select a preferred model from amongst multiple acceptable
models.Hint: For questions 24
and 25, you need to use the regression equation associated with the preferred
model selected for question 22 in order to calculate the predicted salary for
each of the 24 employees. In order to answer questions 24 and 25 you need
to keep in mind that the predicted salary value for each employee is only
a point estimate (this concept was discussed in week one relative to the
mean). While a point estimate is a precise value, it is not
necessarily an accurate value since the standard error value tells us there is
some potential degree of error associated with using the preferred regression model
to predict salary values. In order to answer questions 24 and 25 you will
need to create an interval estimate (this concept was also discussed during
week one relative to the mean) for the predicted salary for each of the 24
employees. To calculate the interval estimate for each employee, simply
multiply the standard error value for the preferred regression model by 1.5 and
then subtract this value from the predicted point estimate salary value
to define the lower limit of the interval estimate and add this value
to the predicted point estimate salary value to define the upper limit for the
interval estimate. Once you have created
an interval estimate for each employee, you will then need to compare each
employee’s current salary to their corresponding interval estimate in order to determine
if each employee’s current salary falls within their predicted interval
estimate.Use the results for the
univariate regression analysis for annual salary vs. average performance rating
for the past 3 years in order to answer questions 1 through 14.1. What
is the degree of correlation between the dependent variable and the independent
variable?o 0.8198o 0.6672o 0.7862o 0.65232. Does
the regression model confirm a positive correlation between the dependent
variable and the independent variable as hypothesized?o Yeso No3. What
is the desired statistical significance for the regression model?o 0.00o 0.01o 0.05o 0.104. Is
the statistical significance of the model as a whole less than the desired
statistical significance for the regression model?o Yeso No5. What
is the actual confidence level for the regression model as a whole?o 99.97%o 95%o 90.5%o 80.2%6. Is
the statistical significance of the linear relationship between the dependent
and independent variables less than the desired statistical significance for
the regression model?o Yeso No7. Should
the coefficient of determination or adjusted coefficient of determination be
used to evaluate this regression model?o Coefficient
of determinationo Adjusted
coefficient of determination8. What
percentage of the observed variation between the actual values of the dependent
variable and the mean value of the dependent variable in the sample data set is
explained by the regression model?o 44.51%o 66.72%o 41.99%o 76.24%9. What
is the amount by which we will be off on average when predicting values for the
dependent variable using the regression model?o $12,287o $32,966o $4,169o $25,89610. What is the
coefficient for the y-intercept for the regression model?o 39.38o 19.94o 12.29o 2.9611. What is the
coefficient for the independent variable for the regression model?o 63.08o 4.52o 12.29o 2.9612. What is the
point estimate for the predicted salary for an employee with an average
performance rating of 3.9?o $71,562o $57,006o $41,299o $50,89613. What is the
interval estimate for the predicted salary for an employee with an average
performance rating of 3.9 based upon taking into consideration the standard
error?o $61,913
– $71,562o $57,006
– $64,159o $52,837
– $61,175o $54,896
– $60,87314. What is the
95% confidence level interval estimate for the salary for an employee with an
average performance rating of 3.9?o $60,265
85,789o $75,412
– $78,523o $40,636
– $73,376o $65,141
– $72,269Perform a correlation
analysis between the dependent variable and each of the three independent
variables. Use the results of the
correlation analysis to answer questions 15 and 16.15. Which
independent variables evidence a positive correlation with the dependent
variable?o
Average
performance rating for the past 3 yearso
Years
of serviceo
Number
of relevant certificationso All
of the aboveo None
of the above16. Which
independent variable evidences the highest degree of correlation with the
dependent variable?o
Average
performance rating for the past 3 yearso
Years
of serviceo
Number
of relevant certificationso All
of the aboveo None
of the abovePerform a correlation
analysis between each of the three pairs of independent variables. Use the results of the correlation analyses
to answer question 17.17. Which pair
of independent variable evidences a degree of collinearity that should be cause
for concern when performing multivariate linear regression (i.e., evidences a
degree of correlation in excess of 0.5)?o
Average
performance rating for the past 3 years vs. years of serviceo
Average
performance rating for the past 3 years vs. number of relevant certificationso
Years
of service vs. number of relevant certificationso All
of the aboveo None
of the aboveUse the regression
statistics pertaining to all seven regression analyses in order to answer
questions 15 through 23.18.
Of
the seven regression models, which model both accounts for the lowest
percentage of the observed variation between the actual values of the dependent
variable and the mean value of the dependent variable in the sample data set
and evidences the highest degree of error for predicting values for the
dependent variable?o
Annual
salary vs. average performance rating for the past 3 yearso
Annual
salary vs. years of serviceo
Annual
salary vs. number of relevant certificationso
Annual
salary vs. average performance rating for the past 3 years and years of serviceo
Annual
salary vs. average performance rating for the past 3 years and number of
relevant certificationso
Annual
salary vs. years of service and number of relevant certificationso
Annual
salary vs. average performance rating for the past 3 years, years of service
and number of relevant certifications19.
If
you were to consider only the three regression models that are based upon a
single independent variable, which of the following models would be your
preferred model?o
Annual
salary vs. average performance rating for the past 3 yearso
Annual
salary vs. years of serviceo
Annual
salary vs. number of relevant certifications20.
If
you were to consider only the three regression models that are based upon two
independent variables, which of the following models would be your preferred
model?o
Annual
salary vs. average performance rating for the past 3 years and years of serviceo
Annual
salary vs. average performance rating for the past 3 years and number of
relevant certificationso
Annual
salary vs. years of service and number of relevant certifications21.
If
you were to compare the preferred regression model based upon a single
independent variable with the preferred regression model based upon two
independent variables, which model would be preferred overall?o
Preferred
regression model based upon a single independent variableo
Preferred
regression model based upon two independent variables 22.
When
you consider all seven regression models, which is the overall preferred regression
model?o
Annual
salary vs. average performance rating for the past 3 yearso
Annual
salary vs. years of serviceo
Annual
salary vs. number of relevant certificationso
Annual
salary vs. average performance rating for the past 3 years and years of serviceo
Annual
salary vs. average performance rating for the past 3 years and number of
relevant certificationso
Annual
salary vs. years of service and number of relevant certificationso
Annual
salary vs. average performance rating for the past 3 years, years of service
and number of relevant certifications23.
Do
any of the regression models offer a higher confidence level for the model as a
whole, or a lower standard error in comparison to the overall preferred model?o
Yeso
NoThe personnel is interested in comparing each employees
actual salary to their predicted salary in order to determine if there are any
prevailing salary inequities. Suppose
the personnel director considers an employees current salary to be fair and
reasonable if it is within plus or minus 1.5 standard errors of the value
estimated by the regression model selected in response to question 22. For each individual employee, calculate his
or her estimated salary using the regression model selected in response to
question 22, as well calculate his or her upper and lower limits for a fair
reasonable salary, in order to answer questions 24 and 25.24.
Of
the 24 employees, how many employees current salary is below what is
considered fair and reasonable?o
0o
1o
2o
3o
4o
525.
Of
the 24 employees, how many employees current salary is above what is
considered fair and reasonable?o
0o
1o
2o
3o
4o
5


 

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