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    REGRESSION ANALYSIS

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

    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. 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 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. 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 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. 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?

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    https://brainmass.com/statistics/regression-analysis/regression-analysis-132718

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    I have created the charts in the Excel file. They are on the right of the data. Please see the attached file.

    First, the relationship between Intrinsic job satisfaction and benefits are:
    y = -0.0171x + 5.2323
    R2 = 0.0003
    where y = Intrinsic job satisfaction
    x = Benefits.
    As you can see the slope is -0.0171 and intercept is 5.23. And R2 = ...

    $2.49

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