Adjusted R^2 takes into account: A) the standard error B) the intercept and the slope c) the p value of the overall F statistic D) the number of X variables in the sample size
The adjusted R-squared is a modified version of R-squared that has been adjusted for the number of predictors in the model.
The adjusted R-squared increases only if the new term improves the model more than would be expected by chance.
With increase in predictors, R-squared keeps increasing but adjusted R-square does not increase unless the additional term actually has an impact on the results
So, Adjusted R^2 takes into account the number of X variables in the sample size
That will be Option- (D)
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