Question 3
You are solving a regression problem with 8 explanatory variables. The data has 150 observations, and the R-square value was found to be 0.75. You are adding one more explanatory variable to the dataset, making a total of 9 variables. The adjusted R square value increases to 0.86. What does it signify?
The new variable does not improve the model
The new variable alone has high explanatory power
Adjusted R squared can never be greater than R squared. Calculation error
None of these