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    Linear Regression Analysis

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    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

    Grading Guideline for Unit 5 IP

    Run regression with Benefits and Intrinsic - create graph with trendline
    25

    Least squares regression line
    5

    Slope and y-intercept
    5

    R-squared value
    5

    Run regression with Benefits and Extrinsic - create graph with trendline
    25

    Least squares regression line
    5

    Slope and y-intercept
    5

    R-squared value
    5

    Run regression with Benefits and OVERALL - create graph with trendline
    25

    Least squares regression line
    5

    Slope and y-intercept
    5

    R-squared value
    5

    Comment on similarities, differences and reasons
    10

    Which regression produces the strongest correlation coefficient and why?
    10

    APA format
    10

    © BrainMass Inc. brainmass.com May 20, 2020, 3:44 pm ad1c9bdddf
    https://brainmass.com/statistics/regression-analysis/linear-regression-analysis-141254

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    Solution Preview

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    Regression
    Details: 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

    Grading Guideline ...

    Solution Summary

    This solution consists of a detailed explanation of using Excel to do a linear regression analysis.

    $2.19

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