Consider the linear regression model Y, = Bo + B1 X + U; for each i = 1,...,n with n = 1,000. X, represents the annual income of individual i (measured in $10,000) and Y, represents the home size (measured in square feet). We run an OLS regression and get: Bn = 43.2, SE(B m) = 10.2, Bon = 700, %3D SE(Pom) = 7.4. %3D Suppose that E- X, = 7. Which one of the following is correct about Y ? i%3D1 = Y, = 700 + 43.2 * 7 I , Y, = 700 +43.2 * 70, 000 a. b. n Li=1 - Y, = 700 - 43.2 * 70, 000 Y - 700 C. Li=1 d. 13.2
Consider the linear regression model Y, = Bo + B1 X + U; for each i = 1,...,n with n = 1,000. X, represents the annual income of individual i (measured in $10,000) and Y, represents the home size (measured in square feet). We run an OLS regression and get: Bn = 43.2, SE(B m) = 10.2, Bon = 700, %3D SE(Pom) = 7.4. %3D Suppose that E- X, = 7. Which one of the following is correct about Y ? i%3D1 = Y, = 700 + 43.2 * 7 I , Y, = 700 +43.2 * 70, 000 a. b. n Li=1 - Y, = 700 - 43.2 * 70, 000 Y - 700 C. Li=1 d. 13.2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
![Consider the linear regression model Y; = Bo+ B1 X; + U¡ for each i = 1, .., n with n = 1,000. X; represents the annual income of
individual i (measured in $10,000) and Y¡ represents the home size (measured in square feet). We run an OLS regression and get:
= 43.2, SE(B„) = 10.2,
%3D
%3D
Bo.n=D700, SE(Bom) = 7.4.
SE( o.m) = 7.4.
%3D
Suppose that E- X; = 7. Which one of the following is correct about Y ?
%3D
Y, = 700 + 43.2 * 7
b. -E- Y, = 700 + 43.2 * 70, 000
c. E- Y; = 700 – 43.2 * 70, 000
a.
%3D
%3D
С.
d.
- Y, = 700 – 43.2 * 7](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F00af739a-4010-4669-9e5e-5bc99db6959f%2F8644c5ae-cf19-4653-87d4-add19254473b%2Fyi8hxea_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Consider the linear regression model Y; = Bo+ B1 X; + U¡ for each i = 1, .., n with n = 1,000. X; represents the annual income of
individual i (measured in $10,000) and Y¡ represents the home size (measured in square feet). We run an OLS regression and get:
= 43.2, SE(B„) = 10.2,
%3D
%3D
Bo.n=D700, SE(Bom) = 7.4.
SE( o.m) = 7.4.
%3D
Suppose that E- X; = 7. Which one of the following is correct about Y ?
%3D
Y, = 700 + 43.2 * 7
b. -E- Y, = 700 + 43.2 * 70, 000
c. E- Y; = 700 – 43.2 * 70, 000
a.
%3D
%3D
С.
d.
- Y, = 700 – 43.2 * 7
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