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 …

Jun 30, 2025 · The coefficient of determination, also known as r-squared, quantifies the extent to which a stock’s price changes are influenced by movements in its associated stock index.

Dec 6, 2025 · 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.

Jul 8, 2025 · What Is the Coefficient of Determination? The coefficient of determination, usually written as R² (R-squared), is a number that tells us how well a regression model explains what’s going on in …

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

The coefficient of determination can be thought of as a percent. It gives you an idea of how many data points fall within the results of the line formed by the regression equation.

Aug 21, 2025 · The coefficient of determination, often denoted as r 2 and typically written as a percentage, is a statistical measure that helps assess the quality of a regression model.

When expressed as a percent, the coefficient of determination represents the percent of variation in the dependent variable y that can be explained by the variation in the independent variable x using the …

Jul 23, 2025 · Coefficient of determination is defined as the fraction of variance predicted by the independent variable in the dependent variable. It shows the degree of variation in the data collection …

Seen in this light, the coefficient of determination, the complementary proportion of the variability in y, is the proportion of the variability in all the y measurements that is accounted for by the linear …