Prediction equations were constructed by stepwise multiple regression analysis. TBW and FFM were used separately as the dependent variables; and age, weight, height, BMI, sex and impedance index ...

Though the inclusion of multiplicative terms in multiple regression equations is often prescribed as a method for assessing interaction in multivariate relationships, the technique has been criticized ...

We will cover the computation of the regression equation and the analysis of variance table. We will also discuss S, R-Sq, R-Sq (adj), predicted values, confidence intervals, prediction intervals, and ...

However, inclusion of all 38 variables in a multiple regression prediction equation accounted for less than 30 percent of the variance in dropping out versus completing senior college for women, and ...