In: Statistics and Probability
his is summary of the regression set of data for a gas station profit for 108 days, interpret the values?
| 
 Regression Statistics  | 
|
| 
 Multiple R  | 
 0.148500807  | 
| 
 R Square  | 
 0.02205249  | 
| 
 Adjusted R Square  | 
 0.01282657  | 
| 
 Standard Error  | 
 4411.401754  | 
| 
 Coefficients  | 
 P-value  | 
|||
| 
 Intercept  | 
 36341.0736  | 
 2.04468E-68  | 
||
| 
 X Variable 1  | 
 -21.05107088  | 
 0.125072539  | 
For the given table of coefficients, we have here:
The p-value represents the significance of the intercept and the independent variable X.
The p-value for intercept is a very low value and therefore the
intercept is significant here.
The p-value for the independent variable X is greater than 0.1,
therefore at 10% level of significance, the independent variable is
not significant here for the given regression model.