USING THE DATA BELOW, answer the questions. Please help quick

Least Squares Linear Regression of JobSat

Predictor

Variables Coefficient Std Error T P VIF

Constant 41.6019 18.5465 2.24 0.0749 0.0

SupFdbk 0.60863 0.51319 1.19 0.2889 174.5

Salary 5.973E-04 5.053E-04 1.18 0.2903 201.2

SalSup 1.694E-05 1.710E-05 0.99 0.3672 6445.7

SupSq -9.116E-03 9.260E-03 -0.98 0.3701 2024.1

SalSq -1.020E-08 7.590E-09 -1.34 0.2368 1386.3

R 0.9880 Mean Square Error (MSE) 6.74382

Adjusted R 0.9761 Standard Deviation 2.59689

AICc 63.655

PRESS 134.66

Source DF SS MS F P

Regression 5 2784.46 556.893 82.58 0.0001

Residual 5 33.72 6.74382

Total 10 2818.18

If we believe there will be a positive relationship between salary, supervisor feedback, and employee satisfaction, what would be the p-value of the F-test in Printout 5?

a. 0.00005

b. 0.0001

c. 0.0005

d. 0.001

What is the interpretation of the coefficient for salary in Printout 5?

1 For every one-minute increase in supervisor feedback, we expect salary to go up $59.73

2 For every $59.73 increase in salary, we expect job satisfaction to go up one point, holding supervisor feedback constant

3 We should not interpret this beta because the interaction term is not useful

4 We should not interpret this beta