The R-squared value for a regression analysis on two predictor variables is 0.90. Explain what this means.
This implies that two predictor variables account for 0.90 or 90% of the total variation in its outcome variable. Since R2 = 0.90 is very close to 1, this suggests that most of the variability in y is almost perfectly explained by the regression model.
Did I interpret the R-squared correctly?