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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4arrow_forwardQ. Let the joint pmf of x and y be defined by f (x,y) = (x+y)/32 where x = 1,2 and y = 1,2,3,4arrow_forwardLet fix) = 2x, 0arrow_forwardShow the solution and answer for this problemarrow_forwardE and F are independent variables with variances of 7 and 9, respectively. Given this, Var(2E - F + 2) = ? Show complete solution.arrow_forward1. Let X be an RV with PDF - f(x) = {1 = |x| a. Find the mean of g (X) = 5x² - 1. b. Find the variance of g(x) = 5x² - 1. for x < 1 otherwisearrow_forwardQ3. Find out the regression coefficients of Y on X and of x on Y on the basis of following data: Ex = 50, X = 5, EY = 60, Y = 6, EXY = 350 Variance of X= 4, Variance of Y= 9arrow_forwardLet X have a mean of 132 and a variance of 32. Define Y = X² + 2X + 1. Compute the (a) mean and (b) variance of Y. (a) i (b) iarrow_forwardGet the variance and standard deviationarrow_forwardLet's say p a real function p by: 1 P(x) = 2 x E R a. Calculate the variance of Xarrow_forwardThe correlation between X and Y Select one or more: a. is the covariance squared b. cannot be negative since variances are always positive. c. is given by corr(X, Y) = cov(X,Y)/var(X)var(Y)cov(X,Y)/var(X)var(Y) d. can be calculated by dividing the covariance between X and Y by the product of the two standard deviationsarrow_forwardConsider the following simple linear regression. iid Y = Po + B₁X + e, e~ N(0,02), i 1,..., n.arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_ios
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