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    Regression Analysis:AIU Job satisfactisfaction Data Base

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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 data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the data set as the dependent variable.

    2.Run a regression analysis using the BENEFITS column of all data points in the data set as the independent variable and the EXTRINSIC job satisfaction column of all data points in the data set as the dependent variable.

    3.Run a regression analysis using the BENEFITS column of all data points in the data set as the independent variable and the OVERALL job satisfaction column of all data points in the data set as the dependent variable.

    4.Create a graph with the trend line 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?

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    https://brainmass.com/statistics/regression-analysis/regression-analysis-aiu-job-satisfactisfaction-data-base-287486

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    Solution Summary

    The solution provides step by step method for the calculation of regression regression model for AIU job satisfaction data base. The graphs with trend lines are also included. Formula for the calculation and Interpretations of the results are also included.

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