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Linear Modelinghard
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If a dataset exhibits perfect multicollinearity in a multiple regression model Y=β0+β1X1+β2X2+ϵY = \beta_0 + \beta_1 X_1 + \beta_2 X_2 + \epsilonY=β0​+β1​X1​+β2​X2​+ϵ where X2=3X1X_2 = 3X_1X2​=3X1​, what is the impact on the OLS estimation?