The following estimated regression equation is based on 10 observations was presented. Here SST = 6,748.125, SSR=6,033.875, 0.0876, and $₂ = 0.0553. a. Compute MSR and MSE (to 3 decimals). MSR-6033.8 MSE=102.03 b. Compute F and perform the appropriate F test (to 2 decimals). Use a=0.05. Use the F table. 59.13 The p-value is less than 0.01 At a=0.05, the overall model is significant c. Perform a t test for the significance of B₁ (to 2 decimals). Use a = 0.05. Use the t table. to, 6.74 The p-value is less than 0.01 At a 0.05, there is a significant relationship between y and ₁. d. Perform a t test for the significance of ₂ (to 2 decimals). Use a = 0.05. Use the t table. 9.00 The p-value is less than 0.01 ŷ = 29.1270 +0.5906₁ +0.4980
The following estimated regression equation is based on 10 observations was presented. Here SST = 6,748.125, SSR=6,033.875, 0.0876, and $₂ = 0.0553. a. Compute MSR and MSE (to 3 decimals). MSR-6033.8 MSE=102.03 b. Compute F and perform the appropriate F test (to 2 decimals). Use a=0.05. Use the F table. 59.13 The p-value is less than 0.01 At a=0.05, the overall model is significant c. Perform a t test for the significance of B₁ (to 2 decimals). Use a = 0.05. Use the t table. to, 6.74 The p-value is less than 0.01 At a 0.05, there is a significant relationship between y and ₁. d. Perform a t test for the significance of ₂ (to 2 decimals). Use a = 0.05. Use the t table. 9.00 The p-value is less than 0.01 ŷ = 29.1270 +0.5906₁ +0.4980
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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![15.5 Practice
1.
2.
The following estimated regression equation is based on 10 observations was presented.
Here SST = 6,748.125, SSR = 6,033.875, Sb₁ = 0.0876, and Sb₂ = 0.0553.
a. Compute MSR and MSE (to 3 decimals).
MSR = 6033.8
MSE = 102.03
b. Compute F and perform the appropriate F test (to 2 decimals). Use a = 0.05. Use the F table.
F = 59.13
The p-value is less than 0.01
At a = 0.05, the overall model is significant
c. Perform a t test for the significance of B₁ (to 2 decimals). Use a = 0.05. Use the t table.
t₁ = 6.74
The p-value is less than 0.01
At a = 0.05, there is a significant
✔ relationship between y and 1.
d. Perform a t test for the significance of 8₂ (to 2 decimals). Use a = 0.05. Use the t table.
t₂ = 9.00
The p-value is less than 0.01
At a = 0.05, there is a significant
Hide Feedback
Partially Correct
relationship between y and 2.
ŷ = 29.1270+ 0.5906x1 +0.4980*2
Hint(s) Check My Work
Hint(s) Check My Work
X](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9dbaa367-1709-4dd6-aeb0-c465dec23193%2Fb88764c2-00b4-41d8-b922-128baf977202%2Fn99yqef_processed.png&w=3840&q=75)
Transcribed Image Text:15.5 Practice
1.
2.
The following estimated regression equation is based on 10 observations was presented.
Here SST = 6,748.125, SSR = 6,033.875, Sb₁ = 0.0876, and Sb₂ = 0.0553.
a. Compute MSR and MSE (to 3 decimals).
MSR = 6033.8
MSE = 102.03
b. Compute F and perform the appropriate F test (to 2 decimals). Use a = 0.05. Use the F table.
F = 59.13
The p-value is less than 0.01
At a = 0.05, the overall model is significant
c. Perform a t test for the significance of B₁ (to 2 decimals). Use a = 0.05. Use the t table.
t₁ = 6.74
The p-value is less than 0.01
At a = 0.05, there is a significant
✔ relationship between y and 1.
d. Perform a t test for the significance of 8₂ (to 2 decimals). Use a = 0.05. Use the t table.
t₂ = 9.00
The p-value is less than 0.01
At a = 0.05, there is a significant
Hide Feedback
Partially Correct
relationship between y and 2.
ŷ = 29.1270+ 0.5906x1 +0.4980*2
Hint(s) Check My Work
Hint(s) Check My Work
X
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