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The flowing charts are to show if there is any relationships between the variables. The relationships can either be negative or positive. This is told by whether the graph increases or decreases.

Benefits and Intrinsic Job Satisfaction

Regression output from Excel

SUMMARY OUTPUT Regression Statistics

Multiple R 0.069642247

R Square 0.004850043

Adjusted R Square -0.00471871

Standard Error 0.893876875

Observations 106 ANOVA df SS MS F Significance F

Regression 1 0.404991362 0.404991 0.50686 0.478094147

Residual 104 83.09765015 0.799016

Total 105 83.50264151 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%

Intercept 5.506191723 0.363736853 15.13784 4.8E-28 4.784887893 6.2274956 4.7848879 6.22749555

Benefits -0.05716561 0.080295211 -0.711943 0.47809 -0.21639402 0.1020628 -0.216394 0.10206281 Y=5.5062+-0.0572x

Graph

Benefits and Extrinsic Job Satisfaction

Regression output from Excel

SUMMARY OUTPUT Regression Statistics

Multiple R 0.161906

R Square 0.026214

Adjusted R Square 0.01685

Standard Error 1.001305

Observations 106 ANOVA df SS MS F Significance F

Regression 1 2.806919 2.806919 2.799606 0.097293

Residual 104 104.2717 1.002612

Total 105 107.0786 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%

Intercept 4.448334 0.407452 10.91745 6.02E-19 3.640342 5.256326 3.640342 5.256326

Benefits 0.150497 0.089945 1.673202 0.097293 -0.02787 0.328862 -0.02787 0.328862 Y= 4.4483+0.1505X

Graph

Benefits and Overall Job Satisfaction

Regression output from Excel

SUMMARY OUTPUT…...

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