Which of these statements is/are FALSE? Select all that apply.Hint: There are two statements that are false.Imperfect multicollinearity can make it difficult to distinguish theindividual effects on the dependent variable of one regressor fromthat of another regressor.OLS estimators cannot be computed in the presence of perfectmulticollinearity.In the presence of imperfect multicollinearity, the OLS estimatorswill be biased.Under imperfect multicollinearity, two or more regressors arehighly correlated.When two variables in a regression are highly correlated, then thecoefficients on at least one individual regressor will be impreciselyestimated.We can still compute the OLS estimators in the presence ofimperfect multicollinearity.The effect of imperfect multicollinearity is to increase the varianceof the OLS estimators.Imperfect multicollinearity increases the standard errors of theregression coefficients, and hence t- and F- tests are invalid.

This question examines statements related to multicollinearity and its impact on ordinary least…

Answered: Which of these statements is/are FALSE?…

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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