5. Suppose you estimate a sample OLS regression model. The resulted regression equation is: Y; = 4.1 + 3.5 X¡ + Ei. Yi, Xi, and ɛ; denote the dependent variable, independent variable, and the regression residual, respectively: i indexes each individual observation. If X¡ is equal to 2, what is the predicted value of Y;? а. 23.5 b. 19.6 с. 15.2 d. 11.1 None of the above choices (a)-(d). e.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.4: Linear Regression
Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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6. Suppose you estimate a sample OLS regression model. The resulted regression equation is: Y;
Ei. Yi, Xi, and ɛ; denote the dependent variable, independent variable, and the regression residual, respectively: i
indexes each individual observation. If X; is equal to 2, what is the predicted value of Y;?
4.1 + 3.5 X; +
а. 23.5
b. 19.6
c. 15.2
d. 11.1
e. None of the above choices (a)-(d).
ant voniohlo
Transcribed Image Text:6. Suppose you estimate a sample OLS regression model. The resulted regression equation is: Y; Ei. Yi, Xi, and ɛ; denote the dependent variable, independent variable, and the regression residual, respectively: i indexes each individual observation. If X; is equal to 2, what is the predicted value of Y;? 4.1 + 3.5 X; + а. 23.5 b. 19.6 c. 15.2 d. 11.1 e. None of the above choices (a)-(d). ant voniohlo
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