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Regression analysis for AIU Job satisfaction data

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

1. First run a regression analysis using the BENEFITS column of all data points in the attached AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the attached AIU data set as the dependent variable. Create a graph with the trend line displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?
2. Next, run a regression analysis using the BENEFITS column of all data points in the attached AIU data set as the independent variable and the EXTRINSIC job satisfaction column of all data points in the attached AIU data set as the dependent variable. Create a graph with the trend line displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?
3. Next, run a regression analysis using the BENEFITS column of all data points in the attached AIU data set as the independent variable and the OVERALL job satisfaction column of all data points in the attached AIU data set as the dependent variable. Create a graph with the trend line displayed. What is the least squares regression line equation? What are the slope and the y-intercept? What is the R-squared value?
4. 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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Step by step method for regression analysis for AIU job satisfaction database is discussed here. Regression coefficients, coefficient of determination, scatter diagram and significance of regression model are explained in the solution.

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Regression analyses for AIU Job satisfaction data

See attached data file.

Prepare a report using Excel as your processing tool to process 3 simple regression analyses. Create a graph with the trendline displayed for each of the 3 different regressions.

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. Then answer the following questions:
What are the least squares regression line equations for each of the 3 different regressions?
What are the slopes and the y-intercepts?
What are the R-squared values for the 3 different regressions?

5. Finally, make very specific comments and give reasons regarding any similarities or differences in the output results.

6. Which regression produces the strongest correlation coefficient result? Why?

The report should be well written and should flow well with no grammatical errors. It should include proper citation in APA formatting in both the in-text and reference pages and include a title page, be double-spaced
Below i have attached the AIU data set info that this regression analysis should be formatted from.

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