Regression Analysis for AIU Data Set

Regression Analysis for AIU Data Set

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.
Copy and paste the results of the output to your report in Microsoft Word.
Create a graph with the trend line displayed the 3 regression.
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.
Copy and paste the results of the output to your report in Microsoft Word.
Create a graph with the trend line displayed for the regression.
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.
Copy and paste the results of the output to your report in Microsoft Word.
Create a graph with the trendline displayed for the regression.
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?