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Job Satisfaction-Statistical Survey and Regression Anaylsis

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Prepare a report using Excel as your processing tool to process three simple regression analyses.

1. 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.

2. 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.

3. 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.

4. Create a graph with the trendline displayed for each of the three different regressions. What are the least squares regression line equations for each of the three different regressions? What are the slopes and the y-intercepts? What are the R-squared values for the three different regressions? 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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The Regression Analysis has been done, and the Slope and the Y-Intercept of the required regression lines has been calculated by using the function LINEST in Excel.

The Correlation Coefficients has been calculated using the function CORREL in Excel.

The required Graphs have been ...

Solution Summary

This Solution presents an extensive Statistical Report of Regression Analysis on 'Job Satisfaction'.

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