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Sample of 100 agents Agent ID Years of Experience Type of Experience Performance ($1000) The HR manager of a brokerage company is trying to find

Sample of 100 agents
Agent ID Years of Experience Type of Experience Performance ($1000) The HR manager of a brokerage company is trying to find a model to predict their employees performances. They are planning to use Experience as an important potential predictor for the Annual Sale of their agents. This sheet includes information about "years of experience" and "type of the past occupation" for a sample of 100 agents working at the brokerage company.
1 1 Finance and Accounting 29
2 21 Sales 112
3 15 Operations 117
4 12 Finance and Accounting 82
5 19 Finance and Accounting 81 a) Draw a scatter chart showing the association between performance (Y) and years of experience (X) with different colors for different experience type levels. Please note you need to prepare ONE scatter chart with THREE separate data series.
6 6 Sales 84
7 23 Sales 89
8 6 Finance and Accounting 68 b) Define appropriate dummy variables to model "type of past experience" for regression purposes.
9 16 Sales 125
10 11 Finance and Accounting 93 c) Run a regression model to predict performance based on the two factors that measure experience (i.e., years of experience and type of experience). What is the equation? How much of the sample variation of agents performance does this model explain? Is years of experience a significant factor? How about the type of past experience? You first need to check the necessary conditions and comment on multicollinearity effect.
11 15 Sales 129
12 30 Sales 45
13 10 Operations 109
14 22 Sales 84
15 3 Sales 63 d) Run another regression model predicting performance based on type of past occupation, years of experience, and squared years of experience. What is the equation? Are necessary conditions of residuals satisfied?
16 20 Operations 121
17 30 Sales 32
18 8 Sales 111 e) Between these two models, which one would you prefer as your final choice? Why?
19 13 Operations 103
20 26 Sales 81
21 22 Operations 115
22 20 Operations 93
23 27 Sales 60
24 28 Operations 45
25 15 Operations 124
26 27 Finance and Accounting 90
27 2 Operations 48
28 1 Finance and Accounting 23
29 12 Sales 122
30 22 Sales 131
31 4 Sales 69
32 16 Sales 123
33 18 Sales 133
34 26 Sales 64
35 2 Finance and Accounting 37
36 12 Finance and Accounting 96
37 27 Sales 116
38 11 Operations 98
39 12 Finance and Accounting 79
40 29 Finance and Accounting 25
41 16 Operations 90
42 17 Sales 100
43 27 Operations 45

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