Brendan Connolly manages the human resource division of a high-tech company. He has access to the salary information of 300 sales reps along with their age, sex (Female), and the net promoter score (NPS) that indicates customer satisfaction. A portion of the data is shown in the accompanying table 

a. Estimate and interpret a quadratic model using the natural log of salary as the response variable and Age, Age2 , Female, and NPS as the predictor variables. 

b. Determine the optimal level of age at which the natural log of salary is maximized. c. At the optimal age, predict the salary of male and female sales reps with NPS = 8.

c. At the optimal age, predict the salary of male and female sales reps with NPS = 8.

Transcribed Image Text:

Salary Age 97000 44 50000 34 88000 # 36 Female 0 0 ⠀ 0 NPS 9 4 E 10