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    Regression Analysis: AIU job satisfaction data

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    Regression Analysis

    Using the data set below complete the flowing.
    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
    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
    Original only please
    Identify at least one similarity and one difference from the regression output or graphs above.
    Identify the strongest correlation coefficient between the three outputs above and explain why that is the strongest. Be sure to relate this to the practical application why in the real world sense do you believe these variables have the strongest relationship.
    Give a short summary of the above.

    Data Set to use for assignment
    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

    KEY TO SURVEY

    Demographics

    Gender
    1 Male
    2 Female
    Age
    1 16 - 21
    2 22 - 49
    3 50 - 65
    Department
    1 Human Resources
    2 Information Technology
    3 Administration
    Position
    1 Hourly Employee (Overtime Eligible)
    2 Salaried Employee (No Overtime)
    Tenure With Company
    1 Less than 2 years
    2 2 to 5 years
    3 Over 5 Years

    Four Survey Measures

    SURVEY MEASURE #1 OVERALL JOB SATISFACTION (Scale 1-7)
    1 = Least Satisfied
    7 = Most Satisfied
    SURVEY MEASURE #2 INTRINSIC JOB SATISFACTION (Scale 1-7)
    1= Least Satisfied
    7= Most Satisfied
    SURVEY MEASURE #3 EXTRINSIC JOB SATISFACTION (Scale 1-7)
    1 = Least Satisfied
    7 = Most Satisfied
    SURVEY MEASURE #4 BENEFITS (Scale 1-7)
    1= Least Satisfied
    7= Most Satisfied

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    https://brainmass.com/statistics/regression-analysis/regression-analysis-aiu-job-satisfaction-data-425737

    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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