In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 18.7 + 3.7x₂ - 2.3x₂ + 7.6x3 + 2.9x4 (a) Interpret b, in this estimated regression equation. O b₁ = 7.6 is an estimate of the change in y corresponding to a 1 unit change in x3 when X₁, X₂, and x4 are held constant. = 2.9 is an estimate of the change in y corresponding to a 1 unit change in x4 when X₁, X₂, and x3 are held constant. Ob₁ = Ob₁ = 3.7 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂, X3, and x4 are held constant. O b₁ = -2.3 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X2, X3, and x4 are held constant. Ob₁ = = 3.7 is an estimate of the change in y corresponding to a 1 unit change in x₂ when X₁, X3, and x4 are held constant. Interpret b₂ in this estimated regression equation. O b₂ = -2.3 is an estimate of the change in y corresponding to a 1 unit change in x₂ when X₁, X3, and x4 are held constant. O b₂ = 2.9 is an estimate of the change in y corresponding to a 1 unit change in X4 when X₁, X₂, and x3 are held constant. O b₂ = -2.3 is an estimate of the change in y corresponding to a 1 unit change in x, when X₂ X3, and x4 are held constant. Ob₂= = 7.6 is an estimate of the change in y corresponding to a 1 unit change in x3 when X₁, X₂, and x4 are held constant. O b₂ = 3.7 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂, X3, and x4 are held constant. Interpret b in this estimated regression equation. O b3 = -2.9 is an estimate of the change in y corresponding to a 1 unit change in X4 when X₁, X₂, and x3 are held constant. O b3 = 7.6 is an estimate of the change in y corresponding to a 1 unit change in x₂ when X₁, X3, and x4 are held constant. O b3 = 3.7 is an estimate of the change in y corresponding to a 1 unit change in x3 when X₁, X₂, and x4 are held constant. O b3 = 7.6 is an estimate of the change in y corresponding to a 1 unit change in x3 when X₁, X₂, and x4 are held constant. O b3 = -2.3 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂, X3, and X4 are held constant. Interpret b in this estimated regression equation. O b4 = -2.3 is an estimate of the change in y corresponding to a 1 unit change in x₂ when X₁, X3, and x4 are held constant. O b4 = 7.6 is an estimate of the change in y corresponding to a 1 unit change in x₂ when X₁, X3, and x3 are held constant. O b4 = 2.9 is an estimate of the change in y corresponding to a 1 unit change in X3 when X₁, X₂, and x4 are held constant. O b4 = 3.7 is an estimate of the change in y corresponding to a 1 unit change in x4 when X₁, X₂, and x3 are held constant. O b4 = 2.9 is an estimate of the change in y corresponding to a 1 unit change in x4 when X₁, X₂, and x3 are held constant. (b) Predict y when x₁ = 10, x₂ = 5, x3 = 1, and x4 = 2.
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 18.7 + 3.7x₂ - 2.3x₂ + 7.6x3 + 2.9x4 (a) Interpret b, in this estimated regression equation. O b₁ = 7.6 is an estimate of the change in y corresponding to a 1 unit change in x3 when X₁, X₂, and x4 are held constant. = 2.9 is an estimate of the change in y corresponding to a 1 unit change in x4 when X₁, X₂, and x3 are held constant. Ob₁ = Ob₁ = 3.7 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂, X3, and x4 are held constant. O b₁ = -2.3 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X2, X3, and x4 are held constant. Ob₁ = = 3.7 is an estimate of the change in y corresponding to a 1 unit change in x₂ when X₁, X3, and x4 are held constant. Interpret b₂ in this estimated regression equation. O b₂ = -2.3 is an estimate of the change in y corresponding to a 1 unit change in x₂ when X₁, X3, and x4 are held constant. O b₂ = 2.9 is an estimate of the change in y corresponding to a 1 unit change in X4 when X₁, X₂, and x3 are held constant. O b₂ = -2.3 is an estimate of the change in y corresponding to a 1 unit change in x, when X₂ X3, and x4 are held constant. Ob₂= = 7.6 is an estimate of the change in y corresponding to a 1 unit change in x3 when X₁, X₂, and x4 are held constant. O b₂ = 3.7 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂, X3, and x4 are held constant. Interpret b in this estimated regression equation. O b3 = -2.9 is an estimate of the change in y corresponding to a 1 unit change in X4 when X₁, X₂, and x3 are held constant. O b3 = 7.6 is an estimate of the change in y corresponding to a 1 unit change in x₂ when X₁, X3, and x4 are held constant. O b3 = 3.7 is an estimate of the change in y corresponding to a 1 unit change in x3 when X₁, X₂, and x4 are held constant. O b3 = 7.6 is an estimate of the change in y corresponding to a 1 unit change in x3 when X₁, X₂, and x4 are held constant. O b3 = -2.3 is an estimate of the change in y corresponding to a 1 unit change in x₁ when X₂, X3, and X4 are held constant. Interpret b in this estimated regression equation. O b4 = -2.3 is an estimate of the change in y corresponding to a 1 unit change in x₂ when X₁, X3, and x4 are held constant. O b4 = 7.6 is an estimate of the change in y corresponding to a 1 unit change in x₂ when X₁, X3, and x3 are held constant. O b4 = 2.9 is an estimate of the change in y corresponding to a 1 unit change in X3 when X₁, X₂, and x4 are held constant. O b4 = 3.7 is an estimate of the change in y corresponding to a 1 unit change in x4 when X₁, X₂, and x3 are held constant. O b4 = 2.9 is an estimate of the change in y corresponding to a 1 unit change in x4 when X₁, X₂, and x3 are held constant. (b) Predict y when x₁ = 10, x₂ = 5, x3 = 1, and x4 = 2.
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
100%
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps with 2 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman