If an independent variable in a multiple linear regression model is an exact linear combination of other independent variables, the model suffers from the problem of _____. SELECT ALL CORRECT OPTIONS OPTION A perfect collinearity OPTION B omitted variable bias OPTION C heteroskedasticty OPTION D homoskedasticity

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MLR. 3. rules out certain relationships between explanatory variables and MLR. 4. rules out relationships between unobservables and regressors. True False QUESTION 7 OF 10 If an independent variable in a multiple linear regression model is an exact linear combination of other independent variables, the model suffers from the problem of _____. SELECT ALL CORRECT OPTIONS OPTION A perfect collinearity OPTION B omitted variable bias OPTION C heteroskedasticty OPTION D homoskedasticity QUESTION 8 OF 10 The estimate σ^σ^ is interesting because it is an estimate of the standard deviation of the unobservables affecting y. In other words, it estimates the standard deviation in yy after the effect of xx has been taken out and is called the standard error (s.e.). True False QUESTION 9 OF 10 Larger the sampling variance in xx in an SLR model, larger the sampling variance for OLS estimators. True False QUESTION 10 OF 10 The regression model, ceosalaryˆ=α^0+α^1ceoten+α^2ceoten2+α^3genderceosalary^=α^0+α^1ceoten+α^2ceoten2+α^3gender violates the assumption MLR.3. True False I JUST NEED ONE CORRECT OPTION FOR ALL UEGENT
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