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Mia Perez——Studied at University of California, Berkeley, Lives in Berkeley, CA
Regressions differing in accuracy of prediction. The standard error of the estimate is a measure of the accuracy of predictions. Recall that the regression line is the line that minimizes the sum of squared deviations of prediction (also called the sum of squares error).read more >>+119962023-06-19 08:41:32
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