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# Multiple regression

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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.

Y = 14.4 minus 8.69 x1 minus 13.5 x2

Where

X1 = length of service in years
X2 = wage rate in dollars
Y= job satisfaction test score (higher scores indicate greater job satisfaction)

A portion of the Minitab computer output follows.

Predictor Coef StDev t-ratio
Constant 14.448 8.191 1.76
X1 1.555
X2 13.517 2.085

S = 3.773 R-sq ______% R-sq (adj) = __%

Analysis of Variance

Source DF SS MS F
Regression 2 ____ ____ ____
Error ____ 71.17 _____ ____
Total 7 720.0

a. Complete the missing entries in this output.
b. Compute F test using level of significance = .05 to see whether a significant relationship is present.
c. Did the estimated regression equation provide a good fit to the data on employees Explain.
d Use the t test and level of signficance =.05 to test H0: b1 = 0.

##### Solution Summary

Completes the missing entries of a multiple regression output. Uses F and t tests to see whether a significant relationship is present.

##### Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

##### Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.