he following estimated regression equation is based on 10 observations was presented. ere SST 6,718.875, SSR= 6,016.125, Sb : 0.0861, and 8b₂ = 0.0531. Compute MSR and MSE (to 3 decimals). SR= SE= ŷ = 29.
he following estimated regression equation is based on 10 observations was presented. ere SST 6,718.875, SSR= 6,016.125, Sb : 0.0861, and 8b₂ = 0.0531. Compute MSR and MSE (to 3 decimals). SR= SE= ŷ = 29.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:The following estimated regression equation is based on 10 observations was presented.
Here SST = 6,718.875, SSR = 6,016.125, sb = 0.0861, and Sb₂ = 0.0531.
a. Compute MSR and MSE (to 3 decimals).
MSR =
MSE =
b. Compute F and perform the appropriate F test (to 2 decimals). Use a = 0.05. Use the F table.
F =
The p-value is - Select your answer
At a = 0.05, the overall model is
Select your answer -
c. Perform a t test for the significance of B₁ (to 2 decimals). Use α = 0.05. Use the t table.
to₁ =
The p-value is - Select your answer
At a = 0.05, there is - Select your answer-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.
to₂ =
The p-value is - Select your answer
At a = 0.05, there is - Select your answer - relationship between y and 2.
ŷ = 29.1270 +0.5906x1 +0.4980x2
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