QUESTION 1 a)i) What happens to ordinary least squares estimators if their variances of the residual is not constant? ii) Consider the following regression model. The dependent variable Y, using data...

Extracted text: QUESTION 1 a)i) What happens to ordinary least squares estimators if their variances of the residual is not constant? ii) Consider the following regression model. The dependent variable Y, using data for 60 different countries in the year 2018, where X, X 2 and X3, are three explanatory variables. Yi = Bo + B,X1 - B2X2 + B>Xa + µ R? = 0.92 If 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.