667 words - 3 pages

Introduction

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

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081422

R Square 0.006629

Adjusted R Square -0.00292

Standard Error 1.088941

Observations 106

ANOVA

df SS MS F Significance F

Regression 1 0.823019 0.823019 0.694067 0.406694

Residual 104 123.3224 1.185792

Total 105 124.1454

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

Intercept 5.165093 0.443112 11.6564 1.38E-20 4.286385 6.043802 4.286385 6.043802

Benefits -0.08149 0.097817 -0.83311 0.406694 -0.27547 0.112483 -0.27547 0.112483

Y= 5.1651 + -0.0815x

Graph

Key components of the regression analysis

Complete the following chart to identify key components of each regression output.

Dependent Variable Slope Y-intercept Equation r^2

Intrinsic

-0.0572 5.5062 Y=5.5062+-0.0572x 0.0049

Extrinsic

0.1505 4.4483 Y=4.4483 + 0.1505x 0.0262

Overall

-0.0815 5.1651 Y=5.1651 + -0.0815x 0.0066

Similarities and Differences

Something that I noticed similar with the three graphs was that two out of the...

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