Recall that in exercise 45 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.

= 14.4 - 8.69x₁ + 13.5x₂

where

x₁ = length of service (years)

x₂ = wage rate (dollars)

y = job satisfaction test score (higher scores indicate greater job satisfaction)

A portion of the regression output follows.

a. Complete the missing entries in this output.

b. Using α = .05, test for overall significance.

c. Did the estimated regression equation provide a good fit to the data? Explain.

d. Use the t test and α = .05 to test H₀ : β₁ = 0 and H₀: β₂ = 0.

Exercise 48-Micrasaft Exce Home nsert Page LayoutFormula Data evVie Add-In StatTaos A1 SUMMARY OUTPUT 1 SUMMARY OUTPUT Regression Statistics 4 Multiple R 5 R Square 6 Adjusted R Square 7Standard Error 8 Observations 3.773 10 ANOVA AMS F Significance F 12 Regression 13 Residual 14 Total 13 16 17 Intercept 18 X1 19 X2 20 720 Coefficients Standard Error tStat P-value 14.4 8.69 13.517 8.191 1.555 2.085 , Exercise 48