# Job Satisfaction-Statistical Survey and Regression Anaylsis

See attached data set.

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

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.

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.

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 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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ANALYSIS:

If all the data points lie exactly on the regression line, then we get a correlation coefficient of +1 or -1 (depending upon the nature of the relationship between the variables). But in most cases correlation coefficients vary significantly from these ideal values since the points do not fall directly on the line.

A positive correlation coefficient indicates a direct relationship between the dependent and independent variables. Therefore, if y (dependent variable) increases linearly with increase in x (independent variable), then the correlation ...

#### Solution Summary

This solution presents an extensive report of a statistical survey and regression analysis on 'job satisfaction'.