INTRINSIC job satisfaction

Using AIU’s survey responses from the AIU data set, complete the following requirements in the form of a 3-page report:
TEST #1: Regression Analysis- Benefits & Intrinsic
Perform the following Regression Analysis, using a .05 significance level
• Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable.
o Copy and paste the results of the output to your report in Microsoft Word.
• Create a graph with the trendline displayed the 3 regression.
o Copy and paste the results of the output to your report in Microsoft Word.
TEST #2: Regression Analysis- Benefits & Extrinsic
Perform the following Regression Analysis, using a .05 significance level
• Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the EXTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable.
o Copy and paste the results of the output to your report in Microsoft Word.
• Create a graph with the trendline displayed for the regression.
o Copy and paste the results of the output to your report in Microsoft Word.
TEST #3: Regression Analysis- Benefits & Overall Job Satisfaction
Perform the following Regression Analysis, using a .05 significance level
• Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the OVERALL job satisfaction column of all data points in the AIU data set as the dependent variable.
o Copy and paste the results of the output to your report in Microsoft Word.
• Create a graph with the trendline displayed for the regression.
o Copy and paste the results of the output to your report in Microsoft Word.
Overview of the Regressions
Complete the table with the following information:
Dependent Variable Slope Y-intercept Equation
Intrinsic

Extrinsic

Overall

• State the slope and the y-intercept for the three regressions.
• State the least squares regression line equations for the threes regressions.
• State the R-squared value for each of the regressions.
Analysis of the Regressions
Make very specific comments and give reasons regarding any similarities or differences in the output results.
Which regression produces the strongest correlation coefficient result? Why? What does it mean to a manager?
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