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Hog95 Hog95
wrote...
Posts: 2983
9 years ago
The regression coefficient in the best linear prediction rule is 
A)   The product of the sum of the deviation scores on the predictor variable, multiplied by the sum of the deviation scores on the criterion variable, divided by the predictor variable's sum of squared deviations from the mean. 
B)   The sum of the products of the deviation scores, divided by the predictor variable's sum of squared deviations from the mean. 
C)   The product of the sum of the deviation scores on the predictor variable, multiplied by the sum of the deviation scores on the criterion variable, divided by the criterion variable's sum of squared deviations from the mean. 
D)   The sum of the product of the deviation scores, divided by the criterion variable's sum of squared deviations from the mean. 
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Answer accepted by topic starter
padrepadre
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Posts: 21610
9 years ago
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Mastering in Nutritional Biology
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Hog95 Author
wrote...
9 years ago
Great, exactly what I needed.
wrote...
Staff Member
Educator
9 years ago
Glad to be part of the success. Let me know if you need anything else.
Mastering in Nutritional Biology
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wrote...
3 years ago
Thank you!!!
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