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Title: The sum of squared errors is the sum of Post by: Hog95 on Sep 18, 2014 The sum of squared errors is the sum of
A) Each score on the criterion variable minus the predicted score, squared. B) Each squared score on the criterion variable minus each squared predicted score. C) Each score on the predictor variable minus the predicted score, squared. D) Each squared score on the predictor variable minus each squared predicted score. Title: Re: The sum of squared errors is the sum of A)Each score on the criterion variabl Post by: padre on Sep 20, 2014 Content hidden
Title: Re: The sum of squared errors is the sum of A)Each score on the criterion variabl Post by: Hog95 on Sep 20, 2014 Great, exactly what I needed.
Title: Re: The sum of squared errors is the sum of A)Each score on the criterion variabl Post by: padre on Sep 20, 2014 Glad to be part of the success. Let me know if you need anything else.
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