The following equation was used:
?[?]=?0+?1?1+?2?2+?3?3E[y]=β0+β1x1+β2x2+β3x3
where
?1={10if level 2o.w.x1={1if level 20o.w. ?2={10if level
3o.w.x2={1if level 30o.w. ?3={10if level 4o.w.x3={1if level
40o.w.
The model was fitted to n=30 data points, and the following
result was obtained:
?̂ =10.2−4?1+12?2+2?3y^=10.2−4x1+12x2+2x3
Use the least squares equation above to find the estimated mean
for each level of the qualitative independent variable.
Estimated mean for level 1:
Estimated mean for level 2:
Estimated mean for level 3:
Estimated mean for level 4:
FOR WEBWORK
For level 1, x1 = x2 = x3 = 0
Estimated mean for level 1:
y^ = 10.2 - 4 * 0 +12 * 0 + 2 * 0 = 10.2
For level 2, x1 = 1 , x2 = x3 = 0
Estimated mean for level 2:
y^ = 10.2 - 4 * 1 +12 * 0 + 2 * 0 = 6.2
For level 3, x2 = 1 , x1 = x3 = 0
Estimated mean for level 3:
y^ = 10.2 - 4 * 0 +12 * 1 + 2 * 0 = 22.2
For level 4, x3 = 1 , x1 = x2 = 0
Estimated mean for level 4:
y^ = 10.2 - 4 * 0 +12 * 0 + 2 * 1 = 12.2
The following equation was used: ?[?]=?0+?1?1+?2?2+?3?3E[y]=β0+β1x1+β2x2+β3x3 where ?1={10if level 2o.w.x1={1if level 20o.w. ?2={10if level 3o.w.x2={1if level...
1. Consider the following simple regression model: y = β0 + β1x1 + u (1) and the following multiple regression model: y = β0 + β1x1 + β2x2 + u (2), where x1 is the variable of primary interest to explain y. Which of the following statements is correct? a. When drawing ceteris paribus conclusions about how x1 affects y, with model (1), we must assume that x2, and all other factors contained in u, are uncorrelated with x1. b....
Given are five observations for two variables, r and y. 3 4 5 1 2 7 6 11 14 4 The estimated regression equation is y = 1.2 + 2.4r Compute the mean square error using the following equation (to 3 decimals). a. SSE s2=MSE n- 2 decimals). b. Compute the standard error of the estimate using the following equation (to SSE VMSE Vn-2 SE c. Compute the estimated standard deviation bi using the following equation (to 3 decimals). Sp...
Given are five observations for two variables, 7 and y. 2 1 3 4 S M 3 7 5 11 14 The estimated regression equation is y = 0.2 +2.67 a. Compute the mean square arror using the following equation to 3 decimals), - MSE SSE - 2 b. Compute the standard error of the estimate using the following equation (to 3 decimals). 5 VMSE SSE N-2 c. Compute the estimated standard deviation by using the following equation (to 3...
Problem Thre: 125 points) Consider the following initial value problem: dy-2y+ t The y(0) -1 ea dt ical solution of the differential equation is: y(O)(2-2t+3e-2+1)y fr exoc the differential equation numerically over the interval 0 s i s 2.0 and a step size h At 0.5.A Apply the following Runge-Kutta methods for each of the step. (show your calculations) i. [0.0 0.5: Euler method ii. [0.5 1.0]: Heun method. ii. [1.0 1.5): Midpoint method. iv. [1.5 2.0): 4h RK method...
city code
%drivers21
fatal accidents/1000
1
12
1.309
2
5
0
3
12
2.539
4
9
2.003
5
11
2.034
6
14
4.08
7
13
2.639
8
9
0.124
9
6
0
10
10
1.145
11
13
2.719
12
18
3.128
13
10
1.676
14
17
3.769
15
14
2.639
16
13
1.449
17
12
3.121
18
10
2.616
19
9
0.788
20
14
2.631
21
10
1.887
22
12
1
23
9
0.652
24
12
1.209
25
15
0.775...