# 7.4: Linear Regression Equations

Difficulty Level: Basic Created by: CK-12
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Practice Linear Regression Equations

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TermDefinition
correlation coefficient $(r)$ and the coefficient of determination $(r^2)$ are both standard quantitative measures of best fit. The correlation coefficient has values from $-1$ to 1, and the closer the value is to $-1$ or 1, the better the fit. If the correlation coefficient is negative, the correlation is negative, and if it is positive, the correlation is positive. The coefficient of determination is the correlation coefficient squared and has values from 0 to 1. The closer the value is to 1, the better the fit.
coefficient of determination The coefficient of determination is the square of the correlation coefficient and therefore has values from 0 to 1.
correlation coefficient The correlation coefficient is a standard quantitative measure of best fit of a line. It has the symbol r and has values from -1 to +1.

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