The R² value: A) is the variability of the observed Y-values from the predicted values. B) indicates that as the independent variable increases, the intercept term does too. C) gives the proportion of variation in the dependent variable that is explained by the independent variable. D) transforms the cumulative probability scale vertical axis) so that the graph of the cumulative normal distribution is a straight line.

Question

Quizplus · Accepted Answer

R² is a code that refers to the coefficient of determination, also known as R-squared (R^2). This statistic gives the proportion of the variance in the dependent variable that is predictable from the independent variable(s), essentially explaining how well the data points fit a statistical model.

The R2 Value

The R² Value