SAS Fit a regression model for prediction of ‘mpg’ by the other five variables. Report the variation inflation factors and explain

Question

SAS Fit a regression model for prediction of ‘mpg’ by the other five variables. Report the variation inflation factors and explain.

Here is the code for reading in the file:

DATA mpg;
    INFILE '/home/u42258867/sasuser.v94/auto-mpg.data.txt';
    INPUT n1-n6;
run;

mpg is n1, thus I need to make a regression model to predict n1 by n2-n6 and I'm not sure how to do this.

Please tell us what you have tried to get both a regression model and VIF. — Stu Sztukowski
@StuSztukowski I've tried using proc reg for n1 = n2 and repeating this method every time for n3 n4 n5 and n6 but I don't thinl that is the output I'm supposed to get — Hannah
Are you trying to fit a multiple linear regression of the form "n1 = (a * n2) + (b * n3) + (c * n4) + (d * n5) + (e * n6) + offset"? — James Phillips
If all variables are numeric, I would recommend looking into proc reg. For increased functionality look into proc glmselect. — J_Lard

Stu Sztukowski Stu Sztukowski · Accepted Answer · 2019-12-12T15:34:56

To make a simple linear regression and get VIF:

proc reg data=mpg;
    model n1 = n2 n3 n4 n5 n6 / vif;
run;

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SAS Fit a regression model for prediction of ‘mpg’ by the other five variables. Report the variation inflation factors and explain

1 Answers