Suppose we have a data set with five predictors, X1 = GPA, X2 = IQ, X3 = Level (1 for College and 0 for High School), X4 = Interaction between GPA and IQ, and X5 = Interaction between GPA and Level. The response is starting salary after graduation (in thousands of dollars). Suppose we use least squares to fit the model, and get 0 = 50, 1 = 20, 2 = 0.07, 3 = 35, 4 = 0.01, 5 = 10. You can assume all variables and interactions between variables are significant.

Predict the salary of a college graduate with IQ of 110 and a GPA of 4.0. Round to the nearest whole number (e.g. if your answer is 10.6, then write "11" without the quotation marks).