Let Y = β0 + β1x + E be the simple linear regression model. What is the interpretation of the least squares estimate for β0? Select one: a. It is an estimate of the expected value of the response variable Y when the explanatory variable X is zero. b. It is an estimate of the change in the expected value of the explanatory variable X for every unit increase in the response variable Y. c. It is an estimate of the change in the expected value of the response variable Y for every unit increase in the explanatory variable X.
Let Y = β0 + β1x + E be the simple linear regression model. What is the interpretation of the least squares estimate for β0? Select one: a. It is an estimate of the expected value of the response variable Y when the explanatory variable X is zero. b. It is an estimate of the change in the expected value of the explanatory variable X for every unit increase in the response variable Y. c. It is an estimate of the change in the expected value of the response variable Y for every unit increase in the explanatory variable X.
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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Let Y = β0 + β1x + E be the simple linear regression model. What is the interpretation of the least squares estimate for β0?
Select one:
a.
It is an estimate of the expected value of the response variable Y when the explanatory variable X is zero.
b.
It is an estimate of the change in the expected value of the explanatory variable X for every unit increase in the response variable Y.
c.
It is an estimate of the change in the expected value of the response variable Y for every unit increase in the explanatory variable X.
d.
It is an estimate of the expected value of the explanatory variable X when the response variable Y is zero.
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