Highlight (Bold) the correct answer (two points each) 1. In a regression model involving more than one independent variable, which of the following tests must be used in order to determine if the relationship between the dependent variable and the set of independent variables is significant? a. t test b. F test c. Either at test or a chi-square test can be used. d. chi-square test 2. In a multiple regression analysis involving 15 independent variables and 200 observations, SST = 800 and SSE - 240. The coefficient of determination is a. 0.300 b. 0.192 c. 0.500 d. 0.700 3. All the variables in a multiple regression analysis a. must be quantitative b. must be either quantitative or qualitative but not a mix of both c. must be positive d. None of these alternatives is correct. Exhibit Below you are given a partial computer output based on a sample of 16 observations. Constant X X2 Coefficient 12.924 -3.682 45.216 Standard Error 4.425 2.630 12.560 Analysis of Variance Source of Variation Regression Error Degrees of Freedom Sum of Squares 4,853 Mean Square 2,426.5 485.3 F 4. Refer to the Exhibit below. The estimated regression equation is a. Y=B0+81X1 + 62X2 + 8 b. E(Y)=BO+B1X1+82X2 c. Y=12.924 3.682X1+45 216X2 d. =4.425+2.63X1+12.56X2