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Home Q & A Board Science-Related Homework Help Psychology
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tethead tethead
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6 years ago
The regression coefficient in the best linear prediction rule is
A) the product of the sum of the deviations scores on the predictor variable times the sum of the deviation scores on the criterion variable, divided by the criterion variable's sum of the squared deviations from the mean.
B) the product of the sum of the deviations scores on the predictor variable times the sum of the deviation scores on the criterion variable, divided by the predictor variable's sum of the squared deviations from the mean.
C) the sum of the products of the deviation scores divided by the predictor variable's sum of the squared deviations from the mean.
D) the sum of the product of the deviation scores divided by the criterion variable's sum of the squared deviations from the mean.
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aeLiaLaeLiaL
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6 years ago
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tethead Author
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6 years ago
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