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Title: The regression coefficient in the best linear prediction rule is Post by: Hog95 on Sep 18, 2014 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. Title: Re: The regression coefficient in the best linear prediction rule is A)The produc Post by: padre on Sep 20, 2014 Content hidden
Title: Re: The regression coefficient in the best linear prediction rule is A)The produc Post by: Hog95 on Sep 20, 2014 Great, exactly what I needed.
Title: Re: The regression coefficient in the best linear prediction rule is A)The produc Post by: padre on Sep 20, 2014 Glad to be part of the success. Let me know if you need anything else.
Title: Re: The regression coefficient in the best linear prediction rule is Post by: Jennifer Hawthorne-Curati on Oct 23, 2020 Thank you!!!
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