he estimated regression equation for a model involving two independent variables and 10 observations follows. ŷ = 28.1570 + 0.5507x₁ + 0.4990x2 (a) Interpret b₁ in this estimated regression equation. = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x2 when is held constant. X1 b₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant. b₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant. b₁ = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₁ when Xx₂ is held constant. b₁ = 28.1570 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant. Interpret b₂ in this estimated regression equation. O b₂ Ob ₂ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x2 when X1 is held constant. = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant. is held constant. X1 when x2 D₂ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in b₂ = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant. O b₂ = 28.1570 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant. (b) Predict y when x₁ = 190 and x₂ = 310.
he estimated regression equation for a model involving two independent variables and 10 observations follows. ŷ = 28.1570 + 0.5507x₁ + 0.4990x2 (a) Interpret b₁ in this estimated regression equation. = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x2 when is held constant. X1 b₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant. b₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant. b₁ = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₁ when Xx₂ is held constant. b₁ = 28.1570 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant. Interpret b₂ in this estimated regression equation. O b₂ Ob ₂ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x2 when X1 is held constant. = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant. is held constant. X1 when x2 D₂ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in b₂ = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant. O b₂ = 28.1570 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant. (b) Predict y when x₁ = 190 and x₂ = 310.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![The estimated regression equation for a model involving two independent variables and 10 observations follows.
ŷ = 28.1570 + 0.5507x₁ + 0.4990x2
(a) Interpret b₁ in this estimated regression equation.
= 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.
O b₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in X₂ when X₁ is held constant.
Ob₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.
O b₁ = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant.
is held constant.
X2
O b. = 28.1570 is an estimate of the change in y corresponding to a 1 unit change in when
X1
1
Interpret b₂ in this estimated regression equation.
22
= 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.
b2 = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant.
O b₂ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant.
1
O b₂
= 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.
b₂
= 28.1570 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.
(b) Predict y when X₁ = 190 and X₂ = 310.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F928f3826-faea-4936-b5b6-4aab28469498%2F1345cd59-cf1a-42ab-aaae-00fe3ab65fc4%2Fokv9fhv_processed.png&w=3840&q=75)
Transcribed Image Text:The estimated regression equation for a model involving two independent variables and 10 observations follows.
ŷ = 28.1570 + 0.5507x₁ + 0.4990x2
(a) Interpret b₁ in this estimated regression equation.
= 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.
O b₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in X₂ when X₁ is held constant.
Ob₁ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.
O b₁ = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant.
is held constant.
X2
O b. = 28.1570 is an estimate of the change in y corresponding to a 1 unit change in when
X1
1
Interpret b₂ in this estimated regression equation.
22
= 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.
b2 = 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant.
O b₂ = 0.4990 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂ is held constant.
1
O b₂
= 0.5507 is an estimate of the change in y corresponding to a 1 unit change in x₂ when x₁ is held constant.
b₂
= 28.1570 is an estimate of the change in y corresponding to a 1 unit change in x₁ when x₂ is held constant.
(b) Predict y when X₁ = 190 and X₂ = 310.
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