# Testing hypotheses based on a given data.

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

First run a regression analysis using the BENEFITS column of 288 data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of 288 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 288 data points in the AIU data set as the independent variable and the EXTRINSIC job satisfaction column of 288 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 288 data points in the AIU data set as the independent variable and the OVERALL job satisfaction column of 288 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?

Your analysis should be sure to include:

Run regression with Benefits and Intrinsic - create graph with trendline

Least squares regression line

Slope and y-intercept

R-squared value

Run regression with Benefits and Extrinsic - create graph with trendline

Least squares regression line

Slope and y-intercept

R-squared value

Run regression with Benefits and OVERALL - create graph with trendline

Least squares regression line

Slope and y-intercept

R-squared value

Comment on similarities, differences and reasons

Which regression produces the strongest correlation coefficient and why?

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#### Solution Summary

The solution contains detailed explanation of testing hypotheses based on a given data seta.