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Statistics - Regression using Excel

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Using Excel as your processing tool, work through three simple regression analysis.

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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Solution Summary

In the Regression using Excel, first the INTRINSIC job satisfaction is used as dependent variable and BENEFITS as the indpendent variable, a graph with trendline created and the equation for the Least Square Regression line is written based on the Excel output. slope, y-intercept and R-squared values are identified and interpreted.
Again, A Regression using Excel is performed taking EXTRINSIC job satisfaction as the dependent variable and BENEFITS as the indpendent variable, a graph with trendline created and the equation for the Least Square Regression line is written based on the Excel output. slope, y-intercept and R-squared values are identified and interpreted.
Again, OVERALL job satisfaction is Regressed using BENEFITS as the indpendent variable BENEFITS as the indpendent variable, a graph with trendline created and the equation for the Least Square Regression line is written based on the Excel output. slope, y-intercept and R-squared values are identified and interpreted.

All the steps for the entire above process is explained in minute detail, and step by step procedure is given in such an easy way that student could use it very easily.

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