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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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    https://brainmass.com/statistics/regression-analysis/157960

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    Solution Summary

    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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