# Condition Index and Variance Proportions - Multiple Linear Regression

I would like to ask if there is a matter of multicollinearity, serious or not, when in a multiple linear regression the condition index in a dimension is below 15 (12.739) and for that dimension two variables have values greater than 0,9 (actually both have 0,99). Tolerance and VIF have acceptable values (for this specific variable TOL = O.937 and VIF = 1.O67) for this specific variable.

The model has three independent variables. The two other variables have acceptable values for valid interpretation (TOL, VIF, CONDITION INDEX AND VARIANCE PROPORTION)

I really thank you in advance.

• This really needs more clarification and a better structure as it is pretty unreadable now. Sep 14, 2018 at 9:22
• Welcome to Cross Validated. In order to maximise the chance that you get a good answer, you might need to clarify some of what you are asking for. Can you explain more fully what you mean by the following sentence: "the condition index in a dimension is below 15 (12.739) and for that dimension two variables have values greater than 0,9" Sep 14, 2018 at 9:26