# R squared and adjusted R squared

I got a question from schweser qbank that says if R squared = 0.35: adjusted R squared = 0.29 Then the model suggests that the independent valuables explain 35% of the dependent variable. Why is it not 29%? I thought the adjusted R squared is supposed to be a more accurate version of R squared? Thank you

Could you please provide us with the exact format of the question? Adjusted R2 is only more accurate if and only if you use a multiple regression. If the question specified that it was simple linear regression then 0.35 is indeed the correct answer!

I don’t remember the exact question but I think you are right! I think it was a simple linear regression. Thanks!

The question is fro the Q bank and yes it is under multiple regression.

R² tells you the fraction of the variability of the dependent variable that is explained by changes in the independent variables.

Adjusted R², by itself, doesn’t tell you anything. Its use is in determining whether adding a new independent variable improves the model or not. Thus, you need to compare the adjusted R² of the model without the new independent variable to the adjusted R² of the model with the new independent variable; you choose the one with the higher adjusted R².