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Words 1225

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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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