Question 11 0.42 pts Random Population Population Independent Y intercept Slope Error Variable term Dependent Coefficient Variable Y. = Bot B,X; + E; Linear component Random Error component O simple regression O multiple regression O logistic regression O No answer text provided.Question 12 0.42 pts yi = Bo + BIXil + B2xi2 + ... + Bplip + E where, for i = n observations: yi = dependent variable xi = expanatory variables Bo = y-intercept (constant term) Bp = slope coefficients for each explanatory variable c = the model's error term (also known as the residuals) O multiple regression O simple regression O naive bayes O No answer text provided.Question 10 0.42 pts Class Prior Probability Likelihood P(c| x) = P(x|c) P(c) P(x) Posterior Probability Predictor Prior Probability P(c | X) = P(x, | c) x P(x2 | c)X . . . X P(X, | c)x P(c) O naive bayes O chi square O logistic regression O No answer text provided.Question 9 0.42 pts In ( 1 -P ) =botb1X1+b2X2+ ... +bpXp O logistic regression O multiple regression O simple regression O No answer text provided