In a regression analysis involving 134 observations, the following estimated regression equation was obtained. Y^= 47.95 + 0.806X1 For this estimated regression equation SST = 245.20 and SSR = 78.25 At a = 5%, test whether x1 is significant. Suppose variables x2 and X3 are added to the model and the following estimated regression is obtained. Y^= 57.16 + 1.0319 x1 - 23.102x2 - 0.022x3 For this model SST = 245. 197 and SSR = 229.677 Use a Partial F test and a 0.05 level of significance to determine whether x2 and x3 contribute significantly to the model. Q16. What is the F statistic for the 1st estimated regression equation? O 76.95 50.45 O 61.86 O 33.74 QUESTION 17 You can state from the 1St estimated regression model that: O There is a significant relationship between the dependent variable and the independent variable The test is inconclusive O There is not a significant relationship between the dependent variable and the independent variable O There is a significant relationship between the independent variable and the set of dependent variables QUESTION 18 What is the Partial F statistic for the 2nd estimated regression equation? O 634.19 O 166.95 O 15.521 O 0.119 QUESTION 19 You can state from the 2nd estimated regression model that: O There is a significant relationship between the dependent variable and the set of independent variables The test is inconclusive O There is not a significant relationship between the dependent variable and the set of independent variables There is a significant relationship between the independent variable and the set of dependent variables QUESTION 20 What is your conclusion after using the partial F test O X2 and X3 contribute significantly to the model O X2 and X3 do not contribute significantly to the model O X1 do not contribute significantly to the model O X1 contributes significantly to the model