In a regression analysis, if r2 = 1, then Select one: a. SSR = SST. b. SSE = SST. c. SSR = SSE. d. SSE = 1.
In a regression analysis, if r2 = 1, then Select one: a. SSR = SST. b....
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of the dependent variable b. The total variation of the independent variable c. The variation of the dependent variable that is explained by the regression line d. The variation of the dependent variable that is unexplained by the regression line Question 2 In regression analysis, the Sum of Squares Regression (SSR) is A. The total variation of the dependent variable B. The total variation of the independent variable...
The data is given as follow. Excel File: data14-17.xlsx i 26 9 13 20 Vi718 9 26 23 The estimated regression equation for these data is y = 7.6 + .9z Compute SSE, SST, and SSR (to 1 decimal). 153.9 SSE SST 281.2 SSR 127.3 The data is given as follow. Excel File: data14-17.xlsx i 26 9 13 20 Vi718 9 26 23 The estimated regression equation for these data is y = 7.6 + .9z Compute SSE, SST, and...
11. From the fact that SST = SSR+SSE and the definition of R², explain what SSE must equal if R2 = 0. 12. Suppose we have the following regression model where x is a continuous variable and x2 is a binary variable where x2 = 1 for males and x2 = 0 for females: y = 10+2xı – 3x2 + 5x, x2 If the model is refit with females as the reference category for xy, write the new model equation.
What would be the value of the sum of squares due to regression (SSR) if the total sum of squares (SST) is 25.32 and the sum of squares due to error (SSE) is 6.89? a. 31.89 b. 19.32 c. 18.43 d. 15.32
eBook Video In a regression analysis involving 30 observations, the following estimated regression equation was obtained. 17.6+3.8z-2.3z +7.6z, +2.7z For this estimated regression equation SST- 1805 and SSR- 1,764. a. At a 0.05, test the significance of the relashionship among the variables. SSE (to 1 decimal, if necessary) MSR (to 1 decimal, if necessary) MSE (to 2 decimal if necessary) What is the value of the F test statistic (to 1 decimal)? Use Table 4 in Appendix B. What is...
In a regression analysis, if SST = 4500 and SSE = 1575, then the coefficient of determination is _____.
5. An OLS (simple regression) analysis is conducted and the fitted regression line is found to be y = 1 + 4.25x. The Excel output shows that SST = 2.0, SSR = 1.5, and SSE=0.5. The percent of variation in y explained by x in the OLS analysis is: S7- SS2+S6 A. 100% B. 50% G: I+ , MX VLY)= C. 75% D. 20% E. not enough information is given to answer the question
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. = 17.6 +3.821 -2.3x2 + 7.603 + 2.724 For this estimated regression equation SST = 1805 and SSR = 1,756. a. At a = 0.05, test the significance of the relashionship among the variables. SSE (to 1 decimal, if necessary) MSR (to 1 decimal, if necessary) MSE (to 2 decimals, if necessary) What is the value of the F test statistic (to 1 decimal)? Use Table...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. y=17.6+3.8x1-2.3x2+7.6x3+2.7x4 For this estimated regression equation SST= 1805 and SSR=1756. a. At a= 0.05 , test the significance of the relationship among the variables. SSE=_________________ (to 1 decimal, if necessary) MSR=________________ (to 1 decimal, if necessary) MSE=+_______________ (to 2 decimals, if necessary) What is the value of the F test statistic (to 1 decimal)? _______________ What is the p-value? - Select your answer -less than .01,between...
What is the MSE for a simple linear regression with SST = 150, SSR = 100, and n = 12? 5 15 10 4.5