Regression Analysis for AIU data: benefits; job satisfaction
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Prepare a report using Excel as your processing tool to process three simple regression analyses.
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. 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?
Objective: Construct charts and diagrams to interpret data.
Calculate and interpret the correlation between variables.
Instructor Comments: In the first three parts you will do three regression lines, that are INTRINSIC = b * BENEFITS + a, EXTRINSIC = b * BENEFITS + a, and OVERALL = b * BENEFITS + a. Use all 25 data rows of the three columns, no samples no extra numbers, and no partitioning!
Be sure to present three regression equations with R-squared value and three graphs. Provide the following summary table.
Make an XY (scatter) plot and include the trendline. In Excel, you need to highlight the two columns you want to graph to make the scatter gram.
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