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
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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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0a5714c1-efe1-4b7f-b47d-d84185ad3202%2Fd8c574ec-7f1d-48a7-b7d8-3ae1d53ab65d%2F5m5y86_processed.jpeg&w=3840&q=75)
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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