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Employee Number Annual Salary Gender Age (Years) Experience (Years) Training Level 1 32,368 F 42 3 B 2 53,174 M 54 10 B 3 52,722

Employee Number Annual Salary Gender Age (Years) Experience (Years) Training Level
1 32,368 F 42 3 B
2 53,174 M 54 10 B
3 52,722 M 47 10 A
4 53,423 M 47 1 B
5 50,602 M 44 5 B
6 49,033 M 42 10 A
7 24,395 M 30 5 A
8 24,395 F 52 6 A
9 43,124 M 48 8 A
10 23,975 F 58 4 A
11 53,174 M 46 4 C
12 58,515 M 36 8 C
13 56,294 M 49 10 B
14 49,033 F 55 10 B
15 44,884 M 41 1 A
16 53,429 F 52 5 B
17 46,574 M 57 8 A
18 58,968 F 61 10 B
19 53,174 M 50 5 A
20 53,627 M 47 10 B
21 49,033 M 54 5 B
22 54,981 M 47 7 A
23 62,530 M 50 10 B
24 27,525 F 38 3 A
25 24,395 M 31 5 A
26 56,884 M 47 10 A
27 52,111 M 56 5 A
28 44,183 F 38 5 B
29 24,967 F 55 6 A
30 35,423 F 47 4 A
31 41,188 F 35 2 B
32 27,525 F 35 3 A
33 35,018 M 39 1 A
34 44,183 M 41 2 A
35 35,423 M 44 1 A
36 49,033 M 53 8 A
37 40,741 M 47 2 A
38 49,033 M 42 10 A
39 56,294 F 44 6 C
40 47,180 F 45 5 C
41 46,574 M 56 8 A
42 52,722 M 38 8 C
43 51,237 M 58 2 B
44 53,627 M 52 8 A
45 53,174 M 54 10 A
46 56,294 M 49 10 B
47 49,033 F 53 10 B
48 49,033 M 43 9 A
49 55,549 M 35 8 C
50 51,237 M 56 1 C
51 35,200 F 38 1 B
52 50,175 F 42 5 A
53 24,352 F 35 1 A
54 27,525 F 40 3 A
55 29,606 F 34 4 B
56 24,352 F 35 1 A
57 47,180 F 45 5 B
58 49,033 M 54 10 A
59 53,174 M 47 10 A
60 53,429 F 45 7 B
61 53,627 M 47 10 A
62 26,491 F 46 7 A
63 42,961 M 36 3 B
64 53,174 M 45 5 A
65 37,292 M 46 0 A
66 37,292 M 47 1 A
67 41,188 F 34 3 B
68 57,242 F 45 7 C
69 53,429 F 44 6 C
70 53,174 M 50 10 B
71 44,138 F 38 2 B

Please make an Excel*.

Examine the effect of training level on annual salary, controlling for age and experience factors. For this question, make a dummy variable for training level C vs. not-C to determine if obtaining the highest level of training (level C) increases an employee's expected salary.

1. Report the regression equation and assess the significance and fit of the estimated model: report and interpret the p-value of F-test, the coefficient of determination (R-squared), and the standard error of estimate.

2. Which explanatory variables are statistically significant at 5% level? 3. Interpret the slope coefficient of dummy variable you choose for training level.

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