In a multiple regression model the value of the coefficient of determination will be


In a multiple regression model, the **coefficient of determination**, denoted as **\( R^2 \)**, measures the proportion of the variance in the dependent variable that is predictable from the independent variables. The value of **\( R^2 \)** will always lie between **0** and **1**, inclusive:

- **\( R^2 = 1 \)**: Perfect fit, meaning the

In a multiple regression model the value of the coefficient of determination will be

Explore the concept of the coefficient of determination (R^2) in a multiple regression model. Learn how it measures the proportion of variance in the dependent variable explained by the independent variables, with values between 0 and 1. Suitable for college-level statistics students.

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