Which of the following is not correct regarding

Solution

R-squared measures the proportion of the variation in your dependent variable (Y) explained by your independent variables (X) for a linear regression model. Adjusted R-squared adjusts the statistic based on the number of independent variables in the model. R² shows how well terms (data points) fit a curve or line. Adjusted R² also indicates how well terms fit a curve or line, but adjusts for the number of terms in a model. If you add more and more useless variables to a model, adjusted r-squared will decrease. If you add more useful variables, adjusted r-squared will increase. Adjusted R² will always be less than or equal to R ². You only need R² when working with samples. In other words, R2 isn't necessary when you have data from an entire population.