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AIU Regression Analysis

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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.
Copy and paste the results of the output to your report in Microsoft Word.
Create a graph with the trendline 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 trendline 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

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AIU Regression Analysis

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Regression analysis for AIU job satisfaction

First 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. Create a graph with the trendline displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?

Next, 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. Create a graph with the trendline displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?

Next, 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. Create a graph with the trendline displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?
Finally, 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?

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