Question: Fill out the blanks. 1.1) In many multiple regression data sets, the predictors X 1 , X 2 , ..., X k are highly interdependent.

Fill out the blanks.

1.1) In many multiple regression data sets, the predictors X1, X2, ..., Xk are highly interdependent. When one of the Xis values can be predicted very well from the other predictor values, for at least one predictor, the data is said to exhibit __________.

1.2) The kth -degree polynomial regression model equation is Y = 0 +1X +2X2 +....+kXk +, where is a normally distributed random variable with E () = ___________ and Var () = ___________.

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