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Regression Essay

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

...view middle of the document...

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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