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Using data for the years 2005 to 2019 for US, an economist obtained the following demand function for automobiles: Q.4.1 Y₁ 5266 + 0.857 X₁ se = (0.02 ) (0.561) Y= retail sales of passenger cars (thousands) and X = the real disposable income (billions of 2017 rand) Q.4.2 Construct a 90% confidence interval for B (xt). R² = 0.26 Test the following hypothesis at 5% level using a t-test: H: B=0 H: B 0

Using data for the years 2005 to 2019 for US, an economist obtained the following demand function for automobiles: Q.4.1 Y₁ 5266 + 0.857 X₁ se = (0.02 ) (0.561) Y= retail sales of passenger cars (thousands) and X = the real disposable income (billions of 2017 rand) Q.4.2 Construct a 90% confidence interval for B (xt). R² = 0.26 Test the following hypothesis at 5% level using a t-test: H: B=0 H: B 0

MATLAB: An Introduction with Applications
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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Using data for the years 2005 to 2019 for US, an economist obtained the following demand function for automobiles: Y₁ 5266 + 0.857 X₁ Q.4.2 se = (0.02 ) (0.561) Y= retail sales of passenger cars (thousands) and X = the real disposable income (billions of 2017 rand) Q.4.1 Construct a 90% confidence interval for B (Xt). R² = 0.26 Test the following hypothesis at 5% level using a t-test: H: B = 0 H: B # 0
Transcribed Image Text:Using data for the years 2005 to 2019 for US, an economist obtained the following demand function for automobiles: Y₁ 5266 + 0.857 X₁ Q.4.2 se = (0.02 ) (0.561) Y= retail sales of passenger cars (thousands) and X = the real disposable income (billions of 2017 rand) Q.4.1 Construct a 90% confidence interval for B (Xt). R² = 0.26 Test the following hypothesis at 5% level using a t-test: H: B = 0 H: B # 0
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