1. Statistics
2. Correlation and Regression Analysis
3. Regression Analysis
4. 125689

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Using Excel as your processing tool, work through three simple regression analyses (word can also be used to explain, create graphs, and answer any questions listed below.

First run a regression analysis using the BENEFITS column of 250 data points (see attached) in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of 250 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 250 data points in the AIU data set as the independent variable and the EXTRINSIC job satisfaction column of 250 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 250 data points in the AIU data set as the independent variable and the OVERALL job satisfaction column of 250 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?
Attachment(s):

Attachments

• Copy of DataSetandDataSetKey_A.xls