A) b1=3.8 estimates change in Y for per unit change in X1.
b2= -2.3 estimates change in Y per unit change in X2.
b3= 7.6 estimates change in Y per unit change in X3.
b4=2.6 estimates change in y per unit change in X4.
b) Y=17.6+3.8(10)-2.3(5)+7.6(1)+2.7(2)=17.6+38-10.6+7.6+5.4=58
Y=58
Check My Work eBook The exercise involving data in this and subsequent sections were designed to be solved using Ex...
eBook The exercise involving data in this and subsequent sections were designed to be solved using Excel. In a regression analysis involving 30 observations, the following estimated regression equation was obtained. Enter negative values as negative numbers. y = 17.6 +3.821 -2.3x2 + 7.603 +2.7x4 a. Interpret bi, b2, bz, and b4 in this estimated regression equation. Assume that for each coefficient statement, the remaining three variables are held constant (to 1 decimal). b = estimated change in y per...
eBook The exercise involving data in this and subsequent sections were designed to be solved using Excel. In a regression analysis involving 30 observations, the following estimated regression equation was obtained. Enter negative values as negative numbers ý = 17.6 +3.8æ1 - 2.3x2 + 7.6x3 + 2.7x4 a. Interpret b1, b2, b3, and b4 in this estimated regression equation. Assume that for each coefficient statement, the remaining three variables are held constant (to 1 decimal). b= estimated change in y...
eBook 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. ? 17.3 + 3.5c,-2x2 + 7.4x3 + 2.8z4 The values of SST and SSR are 1,801 and 1,755, respectively. a. Compute R2 (to 3 decimals) .026 b. Compute R (to 3 decimals). .129 c. How good is the fit provided by the estimated regression equation? The estimated regression equation provided an excellent fit...
eBook 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. 17.14-2.5z27.6z +2.9z4 The values of SST and SSR are 1,804 and 1,759, respectively a. Compute R (to 3 decimals). b. Compute Ra (to 3 decimals). C. How good is the fit provided by the estimated regression equation? Select your answer The estimated regression equation provided an excellent f The estimated regression equation provided...
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= 18.1 +4x1 - 2.4x2 +7.7x3+2.6x4 The values of SST and SSR are 1807 and 1759, respectively. a. Compute r2 (to 3 decimals). b. Computer ra2 (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 10 observations was presented. y=29.1270+.5906x1+.498x2 Here SST=6566.250 SSR=6046.625 Sb1=.0821 and Sb2=.0672 1. Compute MSR and MSE to 3 decimal places. 2. Compute the F statistic to 2 decimal places. 2a. What is the p-value? 3. Compute the t test statistic for the significance of b1(2 decimals) 3a. What is the p-value? 4. Compute the t test...
eBook Video The exercise involving data in this and subsequent sections were designed to be solved using Excel The following estimated regression equation is based on 10 observations was presented. ý=29.1270+0.5906, +0.4980ry Here SST 6,891.125, SSR-6,315.000, 0.0848, and a-0.0634. a. Compute MSR and MSE (to 3 decimals). MSR MSE b. Compute the P test statistic (to 2 decimals). Use F table. What is the p-value? Select your answer At a 05, what is your conclusion? Select your answer c. Compute...
The exercise involving data in this and subsequent sections were designed to be solved using Excel. The following estimated regression equation is based on 10 observations was presented. y = 29.1270 +0.590601 +0.4980:3 Here SST = 6,565.375, SSR = 6,190.250, 81 = 0.0814, and 81% = 0.0546 a. Compute MSR and MSE (to 3 decimals). MSR MSE b. Compute the F test statistic (to 2 decimals). Use Ftable. What is the p-value? - Select your answer - At a=.05, what...
The exercise involving data in this and subsequent sections were designed to be solved using Excel. The following estimated regression equation is based on 10 observations was presented. y = 29.1270+ 0.5906x1 +0.4980x2 Here SST = 6,765.750, SSR = 6,527.625, 8b, = 0.0786, and 8ty = 0.0690. a. Compute MSR and MSE (to 3 decimals). MSR MSE b. Compute the F test statistic (to 2 decimals). Use Ftable. What is the p-value? - Select your answer - At a =...
The exercise involving data in this and subsequent sections were designed to be solved using Excel. The following estimated regression equation is based on 10 observations was presented. $ = 29.1270 + 0.590621 +0.498022 Here SST = 6,943.875, SSR = 6,696.375, 85, = 0.0752, and 86 = 0.0513. a. Compute MSR and MSE (to 3 decimals). MSR 3348.188 MSE 35.337 b. Compute the F test statistic (to 2 decimals). Use F table. 94.72 ♡ What is the p-value? less than...