b) Consider the following regression = 24.7747 +0.9415X2i +0.0424X31 (6.7525) (0.8229) (0.0807) t = (3.6690) (1.1442) (0.5261) R² = 0.9635 R² = 0.9531 df = 7 RSS = 8,565.5541 ESS = 324.445 ولم where X₂ = income; X = wealth and Y= consumption (i) How would you interpret the model? (ii) Is there multicollinearity in the regression? How do you know?
b) Consider the following regression = 24.7747 +0.9415X2i +0.0424X31 (6.7525) (0.8229) (0.0807) t = (3.6690) (1.1442) (0.5261) R² = 0.9635 R² = 0.9531 df = 7 RSS = 8,565.5541 ESS = 324.445 ولم where X₂ = income; X = wealth and Y= consumption (i) How would you interpret the model? (ii) Is there multicollinearity in the regression? How do you know?
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:b) Consider the following regression model;
= 24.7747 +0.9415X2i +0.0424X31
(6.7525) (0.8229)
t = (3.6690) (1.1442) (0.5261)
R² = 0.9635 R = 0.9531 df =7 RSS = 8,565.5541 ESS = 324.4459
(0.0807)
where X₂ = income; X3 = wealth and Y= consumption
(i) How would you interpret the model?
(ii) Is there multicollinearity in the regression? How do you know?
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