Respuesta :
It is true to state that in the provided multiple regression model, the unadjusted R squared value will typically be higher than the corrected R squared value.
The term "adjusted R-square" refers to a regression analysis technique for increasing the validity or accuracy of one's estimate of the proportion of variability explained by one's linear model. Both this and the "unadjusted R-square" are biased estimators, although the unbiased estimators continue to seem to be less common.
For a linear regression model, R-squared represents the percentage of the variation in your dependent variable (Y) that is explained by your independent variables (X). The statistic is modified by the number of independent variables in the model using adjusted R-squared.
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