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MULTIPLE REGRESSION EXAMPLE

MULTIPLE REGRESSION EXAMPLE For a sample of n = 166 college students, the following variables were measured: Y = height X1 = mother s height ( momheight ) X2 = father s height ( dadheight ) X3 = 1 if male, 0 if female ( male ) Our goal is to predict student s height using the mother s and father s heights, and sex, where sex is categorized using the variable male = 1 if male, 0 if female. The population model is Yi = 0 + 1Xi1 + 2Xi2 + 3Xi3 + i where i are independent, N(0, 2). NOTE: The original data has a text variable called sex with two values Male and Female . To create the indicator variable Male in Stata, the commands are: . generate male = 1.

129. We need to change the value to the missing value code, which is a period in Stata: replace momheight = . in 129 A case with height = 57 inches for a male. While unusual (4 ft, 9 inches) it is possible. Do not remove. A case with dadheight = 55 inches. Again this is very unusual (4 ft, 7 inches) but is possible. Do not remove.

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