Suppose the true regression model is given by (8-2). The result in (8-4) shows that if either P1.2 is nonzero or β2 is nonzero, then regression of y on X1 alone produces a biased and inconsistent estimator of β1. Suppose the objective is to forecast y, not to estimate the parameters. Consider regression of y on X1 alone to estimate β1 with b1 (which is biased). Is the forecast of y computed using X1b1 also biased? Assume that E[X2 | X1] is a linear function of X1. Discuss your findings generally.What are the implications for prediction when variables are omitted from a regression?