In statistics, the coefficient of determination, denoted R2 or r2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable …

Oct 2, 2025 · R-squared (R 2) is defined as a number that tells you how well the independent variable (s) in a statistical model explains the variation in the dependent variable.

R-squared measures the strength of the relationship between your linear model and the dependent variables on a 0 - 100% scale. Learn about this statistic.

Apr 22, 2022 · What is the coefficient of determination? The coefficient of determination (R ²) measures how well a statistical model predicts an outcome. The outcome is represented by the model’s …

May 7, 2021 · R: The correlation between the predictor variable, x, and the response variable, y. R2: The proportion of the variance in the response variable that can be explained by the predictor …

Jul 23, 2025 · R-squared, also known as the coefficient of determination, is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by one or more …

May 17, 2020 · R-Squared (R² or the coefficient of determination) is a statistical measure in a regression model that determines the proportion of variance in the dependent variable that can be …

Apr 8, 2026 · coefficient of determination, in statistics, R2 (or r2), a measure that assesses the ability of a model to predict or explain an outcome in the linear regression setting.

Any statistical software that performs simple linear regression analysis will report the r -squared value for you, which in this case is 67.98% or 68% to the nearest whole number. We can say that 68% of …

The coefficient of determination, R 2, is used to analyze how differences in one variable can be explained by a difference in a second variable. For example, when a person gets pregnant has a …