Chapter 15, Problem 53SE

Analyzing Job Satisfaction. Recall that in exercise 50 the personnel director for Electronics Associates developed the following estimated regression equation relating an employee’s score on a job satisfaction test to length of service and wage rate.

$\hat{y}=14.41-8.69x_1+13.52x_2$

where

$\begin{array}{c}{x}_1=\text{length}\text{of}\text{service}\text{(year})\\ x_2=\text{wage}\text{rate}\text{(dollars})\\ \begin{array}{l}y=\text{job}\text{satisfaction}\text{test}\text{score}\text{(higher}\text{scores}\\ \text{indicate}\text{greater}\text{job}\text{satisfaction})\end{array}\end{array}$

A portion of the associated computer output follows.

1. a. Complete the missing entries in this output.
2. b. Compute F and test using α = .05 to see whether a significant relationship is present.
3. c. Did the estimated regression equation provide a good fit to the data? Explain.
4. d. Use the t test and α = .05 to test H₀: β₁ = 0 and H₀: β₂ = 0.