Economics · Econometrics
In a multiple linear regression model with two independent variables (X1 and X2), if X1 and X2 are perfectly correlated (r = 1), this will lead to:
- 1Biased but consistent estimates of the regression coefficients
- 2Homoscedasticity in the error terms
- 3A higher R2 value, improving the model's predictive power
- 4The problem of perfect multicollinearity, making it impossible to estimate unique coefficients✓
Correct answer
The problem of perfect multicollinearity, making it impossible to estimate unique coefficients
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