PROBLEM NO.1 (20 points) 1. The following model Y = Be + B.X: +8 is referred to as a A. curvilinear model B. curvilinear model with one predictor variable C. simple second-order model with one predictor variable D. simple first-order model with one predictor variable 2. The multiple regression formulas used to estimate the regression coefficients are designed to A minimize the total sum of squares (SST) B. minimize the sum of squares of error (SSE) C. maximize the standard error of the estimate D. maximize the p-value for the calculated F value 3. The assumptions of simple regression include A. the error terms are exponentially distributed B. the error terms have constant variances C. the model is nonlinear D. the error terms are dependent 4. A chi-square goodness-of-fit test is being used to determine if the observed frequencies from seven categories are significantly different from the expected frequencies from the seven categories. No parameters are estimated from the data Using a=0.05, the degrees of freedom for this test are A. 7 B. 6 C. 5 D. 0 5 A goodness of fit test is always conducted as a A lower-tail test B. upper-tail test C. middle test D. None of these alternatives is correct