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    Regression Analysis: AIU job satisfaction data

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    Using AIUââ?¬â?¢s survey responses from the AIU data set, complete the following requirements in the form of a report:

    TEST #1: Regression Analysis- Benefits & Intrinsic
    Perform the following Regression Analysis, using a .05 significance level
    ââ?¬¢ 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.
    o Copy and paste the results of the output to your report in Microsoft Word.
    ââ?¬¢ Create a graph with the trendline displayed the 3 regression.
    o Copy and paste the results of the output to your report in Microsoft Word.

    TEST #2: Regression Analysis- Benefits & Extrinsic
    Perform the following Regression Analysis, using a .05 significance level
    ââ?¬¢ 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.
    o Copy and paste the results of the output to your report in Microsoft Word.
    ââ?¬¢ Create a graph with the trendline displayed for the regression.
    o Copy and paste the results of the output to your report in Microsoft Word.

    TEST #3: Regression Analysis- Benefits & Overall Job Satisfaction
    Perform the following Regression Analysis, using a .05 significance level
    ââ?¬¢ 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.
    o Copy and paste the results of the output to your report in Microsoft Word.
    ââ?¬¢ Create a graph with the trendline displayed for the regression.
    o Copy and paste the results of the output to your report in Microsoft Word.

    Overview of the Regressions
    Complete the table with the following information:
    Dependent Variable Slope Y-intercept Equation r2
    Intrinsic

    Extrinsic

    Overall

    ââ?¬¢ State the slope and the y-intercept for the three regressions.
    ââ?¬¢ State the least squares regression line equations for the threes regressions.
    ââ?¬¢ State the R-squared value for each of the regressions.

    Analysis of the Regressions
    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? What does it mean to a manager?

    Gender Age Department Position Tenure Job Satisfaction Intrinsic Extrinsic Benefits
    2 1 3 2 3 5.2 5.5 6.8 1.4
    1 1 1 1 3 5.5 5.5 5.5 5.4
    2 3 1 1 1 4.9 5.2 4.6 6.2
    1 1 2 2 1 5.5 5.3 5.7 2.3
    1 1 2 1 1 5.2 4.7 5.6 4.5
    1 2 2 1 1 5.5 5.5 5.5 5.4
    1 3 1 1 1 4.9 5.2 4.6 6.2
    1 2 1 1 1 3.9 2.1 5.7 2.3
    2 2 2 1 2 5.2 4.7 5.6 4.5
    1 2 2 1 2 5.5 5.4 5.6 5.4
    1 2 2 2 2 5.9 6.2 5.5 6.2
    1 2 1 1 1 4.9 5.2 4.6 6.2
    1 3 1 2 2 5.5 5.3 5.7 2.3
    2 2 2 1 1 5.2 4.7 5.6 4.5
    1 2 2 1 1 5.5 5.4 5.6 5.4
    2 2 2 2 3 5.4 6.2 4.6 6.2
    1 1 2 2 1 5.5 5.2 5.7 6.2
    2 2 2 1 2 5.5 5.3 5.6 5.4
    2 3 2 1 2 5.4 5.3 5.5 6.2
    2 1 1 1 3 5 5.3 4.6 2.3
    1 1 2 1 1 5.2 4.7 5.7 2.3
    1 1 2 2 2 5.5 5.3 5.6 4.5
    1 3 2 1 1 5.1 4.7 5.5 2.3
    1 2 1 2 3 4.9 5.2 4.6 6.2
    1 2 1 1 2 5.5 5.3 5.7 2.3
    1 3 2 1 2 5.2 4.7 5.6 4.5
    1 2 2 1 3 5.5 5.4 5.5 5.4
    1 1 3 2 2 5.4 6.2 4.6 6.2
    1 2 1 2 1 5.5 5.2 5.7 2.3
    1 2 1 2 1 5.5 5.3 5.6 4.5
    2 2 2 1 2 5.5 5.4 5.6 5.4
    2 3 2 2 2 5.9 6.2 5.5 6.2
    2 3 1 1 1 4.9 5.2 4.6 6.2
    2 2 2 1 2 5.5 5.3 5.7 2.3
    2 2 2 1 2 5.2 4.7 5.6 4.5
    2 2 3 2 2 5.5 5.4 5.6 5.4

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    https://brainmass.com/statistics/regression-analysis/regression-analysis-aiu-job-satisfaction-data-426047

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    Solution Summary

    The solution provides step by step method for the calculation of regression analysis on AIU job satisfaction date set. Formula for the calculation and Interpretations of the results are also included.

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