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Table 1. Data Y X1 X2 X3 X4 12 0 2 13 0 3 7 NNN 13.2 1 13 13 7 15 2 12 15 N N 11 O 17 In Table 1, you have data for variables: y, x1, x2, x3, x4. You specified your regression as following Yi = Bo + BIX1 + B2X2 + B3X3 + u; and E(u;) = 0 and cov( X, u) = 0. You also know that X3 = 1 + 2 * X1. Which of the following OLS assumption does not hold? O Homoscedasticity O Linear in parameters O Random sampling Perfect multicollinearity O Variation in X3 O Zero-conditional Mean