Question
Consider the joint probability density function$
Are both x and y regressions linear? Give reasons for your answer.
Answer :
Word Count : 311
The given joint probability density function is [ f(x, y) = y^2 e^{-y(x+1)}, \quad x \ge 0, \ y \ge 0. ] To check if the regressions of (Y) on (X) and (X) on (Y) are linear, we need (E(Y|X=x)) and (E(X|Y=y)). Step 1: Marginal of (X) [ f_X(x) = \int_0^\infty y^2 e^{-y(x+1)} , dy ] Use the formula (\int_0^\infty y^2 e^{-ay} __________ ___ ________ ___ _________ ___ _______ _________ _________.
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The given joint probability density function is [ f(x, y) = y^2 e^{-y(x+1)}, \quad x \ge 0, \ y \ge 0. ] To check if the regressions of (Y) on (X) and (X) on (Y) are linear, we need (E(Y|X=x)) and (E(X|Y=y)). Step 1: Marginal of (X) [ f_X(x) = \int_0^\infty y^2 e^{-y(x+1)} , dy ] Use the formula (\int_0^\infty y^2 e^{-ay} __________ ___ ________ ___ _________ ___ _______ _________ _________.
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