Training data set: In order to help you to develop a reasonable estimation of the mean and variance of Y = Y(X1, X2) as deterministic functions of X and X2, we provide a training data set that is generated as follows. We first choose the uniform design points when 0 X 1 and 0 X2 1, that is, 1i = 0.01 for i = 0, 1, 2, ..., 99, and 0.01 * j for j x2j = 0,1,2,..., ,99. Thus there are a total of 100 * 100 = 104 combinations of (x1, x2; )'s, and for each of these 104 combinations, we generate 200 independent sequences of (Z1, Z2,..., Zm), thereby yielding 200 independent realizations of Yi from Equation (1) for k = 1,...,200. ijk The corresponding training data, 7406train.csv, is available from Canvas. If you save the data file in the local folder "C:/temp" of your laptop, you can use the following code to read the data in R: traindata