Consider 4 possible predictor variables to be included in a regression model. The following table reports the coefficients of determination when each predictor is regressed on the remaining independent variables in turn. (For example, the value of the coefficient of determination when X1is regressed on X2, X3and X4is 0.50). Is there any reason to believe there may be a multicollinearity problem? If so, which predictor/s ought to be excluded from the model when the rest are included?[Hint: consider a measure of multicollinearity.]\

Predictor variablo Coefcient of determination for Xi on other K's .113? {1.34 {1.12