We can, however, use the Regression procedure. Using sex and height as independent variables, we get the following result. These measure how well each independent variable predicts the dependent variable when the other independent variable is held constant . This is because height and sex are correlated. Nevertheless, each is significantly related to weight when the other is controlled.
Height is slightly stronger as a predictor.
It looks better on the microcase screen than it does when I copy it here, but the information is here. I have bolded the key information. Sum of Squares DF Mean Square F Prob. Subtrace the Intercept, -101.738. Then take their height in inches and multiply it by 4.035.