You've run a multiple linear regression and two predictors have a variance inflation factor (VIF) of 10.5 and 11. What does this indicate? O Two of the predictors are collinear leading to multicollinearity. The errors do not have a constant variance. The response and predictors variables do not have a linear relationship. O The errors are not normally distributed