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Words 1225

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Words 1225

Pages 5

Introduction There is data, charts and graphs representing job satisfaction of Intrinsic, Extrinsic and overall. There are discussions on the slop, y-intercept, equation and r^2 using intrinsic, extrinsic and overall components of each regression output.

Benefits and Intrinsic Job Satisfaction

Regression output from Excel

Benefits Intrinsic

5.4 5.5

6.2 5.2

2.3 5.3

4.5 4.7

5.4 5.5

6.2 5.2

2.3 2.1

4.5 4.7

5.4 5.4

6.2 6.2

6.2 5.2

2.3 5.3

4.5 4.7

5.4 5.4

6.2 5.5

6.2 5.2

5.4 5.3

6.2 4.7

2.3 5.5

2.3 4.7

4.5 5.3

2.3 4.7

4.5 4.7

5.4 5.5

6.2 5.2

2.3 2.1

4.5 4.7

5.4 5.4

6.2 6.2

2.3 5.2

4.5 5.3

5.4 4.7

6.2 5.4

6.2 6.2

4.5 5.2

5.4 5.3

6.2 4.7

2.3 5.2

4.5 5.3

5.4 5.3

SUMMARY OUTPUT Regression Statistics

Multiple R 0.468795174

R Square 0.219768915

Adjusted R Square 0.199236518

Standard Error 0.713005621

Observations 40 ANOVA df SS MS F Significance F

Regression 1 5.44142339 5.44142339 10.70352 0.002279584

Residual 38 19.31832661 0.508377016

Total 39 24.75975 Coefficients Standard Error t Stat P-value

Intercept 3.866348351 0.385522375 10.02885592 3.15E-12

Benefits 0.254462373 0.077778626 3.271623399 0.00228 Lower 95% Upper 95% Lower 95.0% Upper 95.0%

Intercept 3.085899112 4.64679759 3.085899112 4.646798

Benefits 0.097007778 0.411916969 0.097007778 0.411917

Graph Benefits and Extrinsic Job Satisfaction

Regression output from Excel

Benefits Extrinsic

5.4 5.5

6.2 4.6

2.3 5.7

4.5 5.6

5.4 5.5

6.2…...

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...Unit 5 – Regression Analysis American InterContinental University Abstract When comparing intrinsic, extrinsic, and overall job satisfaction to which will benefits employees more and have a better result with the satisfaction between the company and the employees to become a successful team. All calculation would be on Excel to determine the regression analysis and graphs the correlation between the all three Introduction When company needs to determine what will work with having happier employees, companies’ uses correlation statistics to help determine which variable value works best. Correlations can be either positive variable value or negative variable value. Using charts and analysis can be useful to determine the results. Regression analysis shows the strengths and weakness of different variables and can help making a decision on which is the strongest variable. Benefits and Intrinsic Job Satisfaction Regression output from Excel [pic] Graph [pic] Benefits and Extrinsic Job Satisfaction Regression output from Excel [pic] Graph [pic] Benefits and Overall Job Satisfaction Regression output from Excel [pic] Graph [pic] Key components of the regression analysis Complete the following chart to identify key components of each regression output. |Dependent Variable |Slope |Y-intercept |Equation |[pic] | |Intrinsic |0.056 ...

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