Usefulness of the Regression Results

The Correlation Coefficient, R, is a useful term that

The square of the Correlation Coefficient, R,2 provides an estimate of the number of independent values (fuel consumption) whose variation is explained by the regression relationship. For example, an R2 value of 0.75 tells us that 75% of the monthly fuel consumption data points evaluated can be accounted for by the linear equation given by the regression analysis. As a general rule of thumb, an R2 value of 0.80 or above describes a thermally "light" building, and a building whose fuel consumption indicates an R2 value significantly less than 0.80 can be considered a thermally "heavy" building.

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