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Quantitative Methods and Analysis BUSN311-1303A-09

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Subject: Statistics
Due on: 08/25/2013
Posted On: 08/25/2013 09:23 AM

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WEEK 5 ASSIGNMENT (Due Saturday This Week) Same Data Sheet Attached
Using AIU’s survey responses from the AIU data set, 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 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
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?

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 in-text and reference pages and include a title page, be double-spaced, and in Times New Roman, 12-point font. APA formatting is necessary to ensure academic honesty.
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Tags busn3111303a09 analysis methods quantitative regreion data analysis report variable output results using points column word copy microsoft paste benefits following regreions satisfaction create independent dependent overall trendline state extrinsic displayed test intrinsic perform

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Quantitative Methods and Analysis BUSN311

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Tutorial Preview …used xx the xxxxxxxxxx analysis performed xx Microsoft Excel xxxxx the xxxxxx xxx…
Attachments
BUSN311_Unit_5_Individual_Project.doc (215.5 KB)
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Quantitative Methods and Analysis

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Tutorial Preview …decrease xx the xxxx time It xxxxxx be predicted xxx hence xx xxx to xx checked through…
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Regression_Analysis.doc (279.5 KB)
Preview: analysis xx the xxxx common one xxx is widely xxxx across xxx xxxxx (Editorial xxxxxx 2012) Regression xxxxxxxx models are xxxx to xxxxxxxxxx xxx relationships xxxxxxx variables and xx predict certain xxxxxxxx like xxxxxx xxxxxxxx of x variable based xxxx the data xxxxxxxxx (Editorial xxxxxx xxxxx Benefits xxx Intrinsic Job xxxxxxxxxxxx Regression output xxxx Excel xxxxx xxxxxxxx and xxxxxxxxx Job Satisfaction xxxxxxxxxx output from xxxxx Graph xxxxxxxx xxx Overall xxx Satisfaction Regression xxxxxx from Excel xxxxx Key xxxxxxxxxx xx the xxxxxxxxxx analysis Dependent xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 0 006 x 0749 x x 006 x 0749 0 xxxxxxxxxxxxx -0 2329 x 5035 x xx 2329 x 5035 0 xxxxxxxxxxx -0 0899 x 497 x xx 0899 x 497 0 xxxx Similarities and xxxxxxxxxxx The xxxxxxx xxxxxxxx shown xxxxx enable us xx look at xxx patterns xxxxxxxx xx the xxxxxxxxx (Editorial Board, xxxxx The similarity xxxxxxx the xxxx xxxx that xxx of them xxxx benefited from xxx independent xxxxxxxx xxxxxxxxx a xxxxxxxx correlation.....
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