In a multiple regression model involving 44 observations, the following estimated regression equation was obtained.
ŷ= 29 + 18x1 + 43x2 + 87x3
For this model, SSR = 600 and SSE = 400. The F statistic for the above model is
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60 |
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In a multiple regression model involving 44 observations, the following estimated regression equation was obtained. ŷ=...
In a regression model involving 30 observations, the following estimated regression equation was obtained: 17+ 4x4 - 3x2 + 8x3+8X For this model SSR = 700 and SSE - 100. The computed Fstatistic for testing the significance of the above model is 43.75 7.00 50.19 0.875
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...
Exhibit 1 In a regression model involving 30 observations, the following estimated regression equation was obtained: Y=17+4X, - 3X,+8X,+8X For this model SSR = 700 and SSE = 100. 12. Refer to Exhibit 1. The conclusion is that the 2. model is not significant b. model is significant c. slope of X, is significant d. slope of X, is significant
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...
6. In a regression model involving 46 observations, the following estimated regression equation was obtained. û = 17+4X1 - 3X2 + 8X3 +5X4 + 8Xs For this model, SST = 3410 and SSE = 510. a. Compute the coefficient of determination. b. Perform an F test and determine whether or not the regression model is significant
In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the following estimated regression equation was developed. yhat= 10 - 18x1+ 3x2+ 14x3 Also, the following standard errors and the sum of squares were obtained. Sb1= 3, Sb2= 6, Sb3= 7, SST = 4800 & SSE = 1296. At the 5% level, the coefficient of x1? Select one: a. cannot be tested, because not enough information is provided b. should be estimated again, because it...
a. 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=1760. At α=0.05, test the significance of the relationship among the variables.
The estimated regression equation for a model involving two independent variables and 10 observations follows. v=27.085 + 0.3331 + 0.604222 a. Interpret by and b2 in this estimated regression equation. bi Select your answer 02 Select your answer b. Estimate y when Z1 =180 and 22 = 310 (to 3 decimals). The exercise involving data in this and subsequent sections were designed to be solved using Excel. The following estimated regression equation is based on 30 observations. y = 17.2...
In a regression analysis involving 36 observations, the following estimated regression equation was developed. û = 10 - 5X1 + 4X2 +8.6X3 Also, the following standard errors and the sum of squares were obtained. Sb1 = 4 Sb2 = 2 Sb3 = 7 SST = 4,800 SSE = 1,296 When we increase X1 by 2 units and hold other things constant, Y on average will increase by 36 units U None of the rest increase by 5 units decrease by...