Reconsider the wood specific gravity data referred to in Exercise 56. The following R2 values resulted from regressing each predictor on the other four predictors (in the first regression, the dependent variable was x1 and the predictors were x2–x5, etc.): .628, .711, .341, .403, and .403. Does multicollinearity appear to be a substantial problem? Explain.