I am regressing cholesterol reduction (dependent) against three different genes (with nine genotypes). Let us assume X (AA, AB, BB); Y (CC, CD, DE); and Z (GG, GH, HH) in SPSS.
However, the variables excluded are AB, CD and GH, despite a low VIF (
Suppose that you are doing multiple linear regression here depending on your dependent and independent variables. I would suggest go for standard linear regression since no multicollinearity exists.