Below are the VIF values from the full model. Do these indicate any potential issues with the model? LotArea LivingArea Bedrooms Rooms Fireplaces Bath Age 1.84 4.577 2.279 4.152 1.407 3.066 1.503 A. Yes, all VIF values are below 10 so the model suffers from multicollinearity. B. No, all VIF values are below 10 so the model does not suffer from multicollinearity. OC. No, statistical software was able to estimate the model, so there is no problem. D. None of the answers is correct. Below are the VIF values from the full model. Do these indicate any potential issues with the model? LotArea LivingArea Bedrooms Rooms Fireplaces Bath Age 1.84 4.577 2.279 4.152 1.407 3.066 1.503 A. Yes, all VIF values are below 10 so the model suffers from multicollinearity. B. No, all VIF values are below 10 so the model does not suffer from multicollinearity. OC. No, statistical software was able to estimate the model, so there is no problem. D. None of the answers is correct