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AIU's survey: Regression Analysis- Benefits & Intrinsic

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Please use the data base attached. Using AIU's survey responses from the AIU data set, Can you help me please complete the following requirements in the form of a 3-page report:

TEST #1: Regression Analysis- Benefits & Intrinsic

Perform the following Regression Analysis, using a .05 significance level

-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.
Copy and paste the results of the output to your report in Microsoft Word.
-Create a graph with the trendline displayed the regression.
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

-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.
Copy and paste the results of the output to your report in Microsoft Word.
-Create a graph with the trendline displayed for the regression.
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

-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.
Copy and paste the results of the output to your report in Microsoft Word.
-Create a graph with the trendline displayed for the regression.
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

-State the slope and the y-intercept for the three regressions.
-State the least squares regression line equations for the threes regressions.
-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?

Attachments
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Solution Summary

Your tutorial is 804 words and three references that includes four tables, three graphs and a discussion of the results.

Solution Preview

Your report is attached (starts after instructions) with tables and graphs.

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Report of Analysis of the Impact of Satisfaction with Benefits on Intrinsic Motivation, Extrinsic Motivation and Overall Job Satisfaction

I investigated the impact of employees' self-reported level of satisfaction with their benefits on their self-reported scores on intrinsic, extrinsic and overall satisfaction with their jobs. Three regressions were run, each with benefit satisfaction as the explanatory variable (independent variable) and then individually with a satisfaction job scores (intrinsic job satisfaction, extrinsic job satisfaction and overall job satisfaction) as the outcome or dependent variable. The results of these regressions and a graph showing the regression line in the scatter graph are shown in Table 1, 2 and 3 below.

Table 1

Regression Statistics
Multiple R 0.526836
R Square 0.277556
Adjusted R Square 0.267522
Standard Error 0.754602
Observations 74

ANOVA
df SS MS F Significance F
Regression 1 15.75127 15.75127 27.66172 1.42E-06
Residual 72 40.99859 0.569425
Total 73 56.74986

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 3.503454 0.297514 11.77577 1.88E-18 2.910371 4.096537 2.910371 4.096537
Benefits 0.316851 0.060244 5.259441 1.42E-06 0.196756 0.436946 0.196756 0.436946

Table ...

Solution provided by:
Carol Sargent, PhD
Education
  • BSc, University of Virginia
  • MSc, University of Virginia
  • PhD, Georgia State University
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