Heteroskedasticity means that Group of answer choices Homogeneity cannot be assumed automatically for the model The conditional variance of the error term is zero The observed units have different values The variance of the error term conditional on the explanatory variables is not constant
Heteroskedasticity means that Group of answer choices Homogeneity cannot be assumed automatically for the model The conditional variance of the error term is zero The observed units have different values The variance of the error term conditional on the explanatory variables is not constant
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
Heteroskedasticity means that
Group of answer choices
Homogeneity cannot be assumed automatically for the model
The conditional variance of the error term is zero
The observed units have different values
The variance of the error term conditional on the explanatory variables is not constant
Expert Solution
Step 1: Defining the term
Heteroskedasticity in statistics and econometrics refers to a situation where the variability, or variance, of errors (the differences between observed and predicted values) in a regression model is not constant across all levels of the independent variables.
In simpler terms, it means that the spread or dispersion of these errors changes as the values of the independent variables change.
Heteroskedasticity can affect the efficiency of statistical tests and lead to incorrect conclusions in regression analysis, as it violates one of the assumptions of linear regression models.
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