The slope (b) can be calculated as follows:Īnd the intercept (A) can be calculated as Statistics for computing the regression line. Standard deviation of Y, and r is the correlation between M X is the mean of X, M Y is the mean of Y, s X is The calculations are based on the statistics shown
However, theĬalculations are relatively easy, and are given here for anyone who Is typically computed with statistical software. In the age of computers, the regression line Where Y' is the predicted score, b is the slope
The sum of the squaredĮrrors of prediction shown in Table 2 is lower than it would be "best-fitting line." By far, the most commonly-used criterionįor the best-fitting line is the line that minimizes the sum of
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