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BAA 4 Employee Tenure and Salary Worksheet
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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 followin g data for 25 of its employees. EMPLOYEE NUM ... BER 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 [Show More]
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