QUESTION 1a)i) What happens to ordinary least squares estimators if their variances of the residualis not constant?ii) Consider the following regression model. The dependent variable Y, using data for 60different countries in the year 2018, where X, X 2 and X3, are three explanatory variables.Yi = Bo + B,X1 - B2X2 + B>Xa + µR? = 0.92If the variances of the residual is not constant was suspected in the model.Based on the information above perform an appropriate test to detect the problem at 5%level of significance given auxiliary coefficient of determination is equal 0.398.

Name: QUESTION 1a)i) What happens to ordinary least squares estimators if t
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Description: QUESTION 1a)i) What happens to ordinary least squares estimators if their variances of the residualis not constant?ii) Consider the following regression model. The dependent variable Y, using data for 60different countries in the year 2018, where X,

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What happens to ordinary least squares estimators if their variances of the residual not constant?

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 25EQ

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