The ________ measures the proportion of the variance in the dependent variable that is predictable from the independent variables in a multiple linear regression.
- Correlation coefficient
- F-statistic
- R-squared value
- Regression coefficient
The R-squared value, also known as the coefficient of determination, measures the proportion of the variance in the dependent variable that can be predicted from the independent variables in a multiple linear regression. It ranges from 0 to 1, with 1 indicating perfect prediction.
Loading...
Related Quiz
- What is the Multiplication Rule of Probability primarily used for?
- In what type of data distribution do the mean, median, and mode coincide?
- What are the implications of a negative Pearson's Correlation Coefficient?
- What implications does an insignificant F-test have in the context of multiple linear regression?
- Can you provide a practical example of where the Law of Large Numbers is applied?