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A researcher has estimated a linear model to study the effect of weekly household income x, (in $100) on weekly household expenditure on food y, (in $). Using a i i sample of size N = 40, she found that = 83.42 + 10.21x,, R²=0.384 i (43.41) (2.09) and N Σ(y₁ - y)² = 500,000 and the sample mean of x, is 19.605. Then, i=1 i N * Σ 6-5) 2= 58,000 i=1 Oc. O d. N i=1 N i=1 (-y)² = 96,000 i (-y)²=192,000 N i=1 i (-y)²=384,000 i

A researcher has estimated a linear model to study the effect of weekly household income x, (in $100) on weekly household expenditure on food y, (in $). Using a i i sample of size N = 40, she found that = 83.42 + 10.21x,, R²=0.384 i (43.41) (2.09) and N Σ(y₁ - y)² = 500,000 and the sample mean of x, is 19.605. Then, i=1 i N * Σ 6-5) 2= 58,000 i=1 Oc. O d. N i=1 N i=1 (-y)² = 96,000 i (-y)²=192,000 N i=1 i (-y)²=384,000 i

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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A researcher has estimated a linear model to study the effect of weekly household income x (in $100) on weekly household expenditure on food y, (in $). Using a i i sample of size N = 40, she found that y = 83.42 + 10.21x₁, R²=0.384 (43.41) (2.09) N and Σ(y₁ - y)² = 500,000 and the sample mean of x, is 19.605. Then, i=1 i O a. ₁ (-y)² = 58,000 i=1 i N Ο Φ. Σ. 6-5) 2=96,000 i=1 i C. Σ(-y)² = 192,000 i=1 O d. (-y)² = 384,000 i=1
Transcribed Image Text:A researcher has estimated a linear model to study the effect of weekly household income x (in $100) on weekly household expenditure on food y, (in $). Using a i i sample of size N = 40, she found that y = 83.42 + 10.21x₁, R²=0.384 (43.41) (2.09) N and Σ(y₁ - y)² = 500,000 and the sample mean of x, is 19.605. Then, i=1 i O a. ₁ (-y)² = 58,000 i=1 i N Ο Φ. Σ. 6-5) 2=96,000 i=1 i C. Σ(-y)² = 192,000 i=1 O d. (-y)² = 384,000 i=1
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