Maryworks in human resources at another college and has been asked by the college to test for age and gender discrimination in salaries.

She gathers data on 42 professors, including annual salary (in $1,000s), experience, whether or not the professor is male or female (1 if male, 0 otherwise), and whether or not the professor is at least 60 years old (1 if at least 60 years of age, 0 otherwise).

4a)What is the final regression model you decided can test for the relationships between salary and the other variables? ________

4b)How many indicator variables did you end up using? ________

4c)What is the R square / Adj R Squared for the model? ________

4d)Any variable which you find not significant? ________

4e)Any final thoughts / opinions?

A B C D 2 4 Salary (000's $) Experience Male Age 5 67.50 14 6 53.51 6 50.05 2 8 111.88 34 9 63.68 21 10 75.56 35 11 65.50 14 12 61.04 3 13 64.30 20 14 58.38 4 15 88.29 28 6 88.61 26 52.23 6 18 59.65 16 63.49 22 20 59.75 7 21 87.78 32 22 62.80 14 23 114.73 29 24 63.21 15 25 61.55 6 26 114.20 36 70.53 33 28 58.98 15 29 68.91 30 80 65.20 26 B1 55.57 7 56.75 2 82.13 26 84 96.07 28 35 67.61 24 57.20 6 37 59.39 13 38 54.73 8 39 64.24 17 10 98.54 25 66.41 28 12 81.77 36 13 77.69 23 14 62.10 19 45 61.45 8 16 73.06 35 O OOH OOH OOH OPP P P H OO OO PP PP HO HOOOPPPOPPOPPOPP H OO OP OO OO OO OHH OO OOOH HOOOOHOOOOOOOOO OHOHOOO