You may need to use the appropriate technology to answer this question.

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 + 13.52x₂

where

x1	=	length of service (years)
x2	=	wage rate (dollars)
y	=	job satisfaction test score (higher scores indicate greater job satisfaction).

(a) Complete the missing entries in this portion of the Minitab computer output. (Round your answers to two decimal places.)

The regression equation is y = 14.4 - 8. 69 x1 + 13.52 x2 Predictor Coef SE Coef T Constant 14.4 8. 191 1 . 76 x1 1 . 555 x2 13.52 2 . 085 S = 3.773 R-Sq = R-sq (adj ) = Analysis of Variance Source DF SS MS F Regression 2 Residual Error 71 . 18 Total 7 720.00