Quantitative Methods and Analysis BUSN3111303A09
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Posted on: 08/25/2013 09:23 AM Due on: 08/25/2013
WEEK 5 ASSIGNMENT (Due Saturday This Week) Same Data Sheet Attached
Using AIUâ€™s survey responses from the AIU data set, complete the following requirements in the form of a 3page report:
TEST #1: Regression Analysis Benefits & Intrinsic
Perform the following Regression Analysis, using a .05 significance level
TEST #2: Regression Analysis Benefits & Extrinsic
Perform the following Regression Analysis, using a .05 significance level
TEST #3: Regression Analysis Benefits & Overall Job Satisfaction
Perform the following Regression Analysis, using a .05 significance level
Overview of the Regressions
Complete the table with the following information:
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?
The report should be well written and should flow well with no grammatical errors. It should include proper citation in APA formatting in both the intext and reference pages and include a title page, be doublespaced, and in Times New Roman, 12point font. APA formatting is necessary to ensure academic honesty.
Using AIUâ€™s survey responses from the AIU data set, complete the following requirements in the form of a 3page 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 3 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  Yintercept  Equation  
Intrinsic  
Extrinsic  
Overall 
 State the slope and the yintercept for the three regressions.
 State the least squares regression line equations for the threes regressions.
 State the Rsquared 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?
The report should be well written and should flow well with no grammatical errors. It should include proper citation in APA formatting in both the intext and reference pages and include a title page, be doublespaced, and in Times New Roman, 12point font. APA formatting is necessary to ensure academic honesty.

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Quantitative Methods and Analysis BUSN311
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Quantitative Methods and Analysis