REGRESSION ANALYSIS

Regression Analysis

Regression Analysis

1. Analysis with benefits as independent and Intrinsic job satisfaction as dependent variable.

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.126a

.016

-.005

.43468

Coefficients

Model

Unstd. Coefficients

Std Coefficients

t

Significance.

B

Standard. Error

Beta

1

(Constant)

5.112

.213

23.963

.000

Benefits

.037

.042

.126

.883

.382

a. Dependent Variable: Intrinsic

From the above statistical evaluation we concluded as follow:

Intrinsic = 5.112 + 0.037 benefits

So, we can say that an increase in benefit by a unit will increase our intrinsic value by 0.037 units. For intercept, even if the benefit value is zero and all other factors are kept constant, even then the intrinsic value will be 5.112.

From this graph, we can say that the intrinsic satisfaction will increase with the increase ...