Download the data file Chapter 7 with performance 2014 2015 and Sick2014 ?. We are interested in understanding which factors may predict an employee’s performance rating in 2015. Can you find a goo

Instructions

  1. Download the data file “Chapter 7 with performance 2014 2015 and Sick2014”.
  2. We are interested in understanding which factors may predict an employee’s performance rating in 2015. Can you find a good three-factor prediction model?
  3. We are also interested in understanding which factors may predict the change of an employee’s performance rating from 2014 to 2015. Again, can you find a good three-factor prediction model?

Submission Guidelines

  1. Please feel free to use any statistical analysis software.
  2. The submitted file should be a report summarizing:

– the analysis you did,- why this analysis addresses the questions of interest,- your findings from the analysis, and- any statistical evidence (e.g., t-statistic, p-value, estimates and standard errors for regression coefficients) supporting your findings.There is no need to include the steps/script/code you ran on any statistical software or any screenshot of the software outputs.

  1. Please submit your answer as a PDF file. There is no need to include this page or repeat the instructions in your submitted file.

Sheet1

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ID Gender JobTenure2014 POS2014 DistJust2014 ProcJust2014 JOBSAT2014 ValueFit2014 JobStrain2014 PerformanceRating2014 PerformanceRating2015 SickDays2014
1 1 8 2.25 3.00 3.25 5.18 3.67 1.67 0
2 2 15 2.25 3.00 3.00 4.18 3.67 3.67 0
3 1 20 2.75 2.00 2.75 3.27 2.67 2.00 0
4 0
5 1 4 3.50 3.00 3.25 4.27 4.67 2.00 0
6 1 8 4.25 4.00 5.00 6.82 4.33 1.33 4 3 0
7 2 6 3.50 4.00 4.00 5.55 4.00 4.00 0
8 1 4 1.50 2.33 3.25 4.27 3.67 3.67 4 3 0
9 1 7 4.25 5.00 4.50 6.73 4.67 1.00 3 3 0
10 4.75 4.67 3.25 6.45 5 5 0
11 3 3 0
12 2 2 3.00 2.67 2.25 4.73 3.00 3.67 0
13 1 6 5.00 5.00 5.00 7.00 5.00 1.00 0
14 1 10 1.00 1.00 1.50 2.55 3.00 5.00 4 5 0
15 2 13 3.50 4.00 3.75 6.27 3.67 2.00 5 2 5
16 1 6 4.25 3.00 3.75 6.00 4.00 3.00 5 5 0
17 0
18 1 7 3.50 4.00 4.00 6.00 3.33 4.00 4 3 0
19 1 16 3.00 3.00 3.50 4.73 3.00 3.33 3 3 3
20 1 20 3.50 4.00 4.00 5.82 4.00 1.00 0
21 2 8 4.00 4.00 4.00 5.82 4.00 2.00 3 1 28
22 1 1 4.50 2.00 4.25 6.09 5.00 1.67 4 5 0
23 1 2 3.50 3.67 3.75 6.00 4.00 2.00 0
24 0
25 2 3 4.00 2.00 4.00 5.27 4.00 4.33 5 5 2
26 2 5 2.25 2.00 3.75 3.91 4.33 4.00 5 3 0
27 2 2 4.00 3.00 3.25 6.18 4.00 2.33 3 3 0
28 2 3 0
29 1 1 3.75 3.33 3.50 6.18 3.67 2.00 5 3 0
30 3 2 9
31 1 20 2.50 2.00 3.25 3.55 4.00 3.33 1 3 0
32 1 10 2.00 2.33 2.25 4.00 4.00 2.00 0
33 1 1 4.00 2.33 4.00 5.18 3.67 2.67 4 3 0
34 1 5 4.00 4.00 4.00 5.64 4.00 2.00 0
35 4 3 0
36 2 20 3.50 4.00 4.00 6.00 3.00 2.00 3 3 2
37 2 16 3.75 2.33 3.25 6.55 3.00 3.00 4 3 0
38 2 9 4.25 2.00 3.50 6.00 4.00 2.67 3 3 4
39 4 3 3
40 3 2 0
41 4 3 0
42 2 3 0
43 2 2 3.75 3.67 4.25 5.45 4.00 2.00 3 0
44 4 3 1
45 3 2 0
46 3 3 1
47 0
48 1 2 4.00 2.00 2.75 5.55 4.67 2.33 0
49 2 21 4.00 4.00 4.00 6.18 4.00 2.00 3 3 5
50 1 8 3.75 3.33 3.00 5.18 3.33 2.33 3 3 5
51 1 26 3.75 3.33 4.50 6.18 5.00 4.00 5 2 0
52 1 1 4.50 2.00 4.50 6.00 3.33 2.67 4 5 0
53 0
54 4.00 3.00 4.00 6.36 4.00 4 3 0
55 3 3 0
56 2 6 4.25 4.00 4.00 6.27 5.00 1.00 3 3 0
57 1 10 4.00 3.33 4.00 5.91 4.33 3.00 4 3 0
58 2 4 3.75 4.00 4.00 6.00 3.67 1.00 3 2 4
59 1 2 4.00 3.33 4.00 5.73 4.00 2.00 4 3 3
60 2 5 3.25 3.33 3.75 5.73 4.00 2.67 5 0
61 2 7 2.50 3.00 3.25 5.45 3.33 3.33 3 3 2
62 2 28 2.75 2.33 3.00 4.45 4.00 4.00 3 3 10
63 3.75 1.67 3.25 5.82 3.00 3 0
64 1 3 1.50 2.67 3.50 4.91 3.67 4.00 3 3 0
65