The correct option is option (B) .
In a Multiple regression Model , the value of adjusted r-Squared is positive.
Adjusted r-Squared :
Adjusted r-squared is a modified version of r-squared adjusted for the number of predictors in the model. The fitted r-squared increases only if the new term improves the model beyond what would be expected by chance. This is reduced if the predictor happens to not improve the model more than expected.
The formula for r-squared,
Adjusted r-squared= 1 - [ ( 1 -r²)(n-1)/(n-k-1)]
where
N --> number of points in the data sample.
K --> number of independent regressors, i. number of variables in the model excluding or constant.
r²--> Indicates how well a term (data point) fits a curve or line.
r-squared values range from 0 to 1 and are commonly stated as percentages from 0% to 100%.
100% r-squared means that all movements in the security are completely explained by movements in the index.
To learn more about Adjusted r-Squared, refer :
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