Baa 4 employee tenure and salary worksheet

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Baa 4 employee tenure and salary worksheet

 
Activity I – Your firm is interested in learning more about how its salaries relate to its employees’ tenure with the firm. It has collected the following data for 25 of its employees.
EMPLOYEE NUMBER
TENURE (YEARS)
SALARY ($)
1
15
53,408
2
32
77,230
3
14
53,664
4
20
55,647
5
25
60,611
6
14
51,991
7
28
71,071
8
30
69,189
9
28
67,359
10
17
50,978
11
14
56,176
12
6
38,865
13
21
58,176
14
11
52,101
15
14
50,941
16
32
73,964
17
29
67,873
18
33
73,860
19
27
60,519
20
16
48,474
21
26
69,574
22
3
34,594
23
14
52,176
24
9
56,444
25
14
57,806
Plot these data points, and describe using regression how salary relates to firm tenure for this group.
Activity II – The data attached contains information on customers’ ratings of your product (CustRate), on a scale of 1 to 100, along with demographic information. The demographic information includes: income (Inc), age (Age), education (Educ), and marital status (Marr). The last variable equals one if the respondent is married and zero otherwise. Assume the data-generating process can be written as:
CustRatei=α+β1Inci+β2Agei+β3Educi+β4Marri+Ui.

Test the hypothesis that income has no impact on customer rating, using a confidence level of 95%. Be sure to provide the reasoning behind your result.
Test the hypothesis that β2=0.05, using a confidence level of 90%. Be sure to provide the reasoning behind your result.
Build a 95% confidence interval for the impact of education on customer rating. Be sure to provide the reasoning for your result.
Build a 95% confidence interval for the impact of being married on customer rating. Be sure to provide the reasoning for your result.
Predict the change in customer rating if a customer’s income increases by $10,000, with no change in age, education, or marital status.
Please sure to use textbook
.Note: Please refer to this textbox: Prince, J. (2018). Predictive Analytics for Business Strategy. McGraw-Hill Education

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