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    Regression Analysis: Analyzing Job Satisfaction

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    Prepare a report using Excel as your processing tool to process 3 simple regression analyses. Create a graph with the trend-line 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?

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    Solution Summary

    The solution provides a step by step method for the calculation of a regression analysis for an AIU job satisfaction data set. Formula for the calculations required and interpretations of the results are also included. Both an Excel and a Word file are attached.

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