Question
. Consider the joint probability density function
Are both x and y regressions linear? Give reasons for your answer.
Answer :
Word Count : 267
To check whether the regressions are linear, we first need the conditional expectations (E[Y \mid X=x]) and (E[X \mid Y=y]). The joint pdf is: [ f(x, y) = y^2 e^{-y(x+1)}, \quad x \ge 0, y \ge 0. ] Step 1: Find the marginal pdfs. (a) Marginal of X) [ f_X(x) = \int_0^\infty f(x,y), dy = \int_0^\infty y^2 e^{-y(x+1)} , dy. ] Use the formula (\int_0^\infty y^2 ____ ___ _______ ________ _______ _________ _______ ______.
___ ____ __________ _________ _______ ___ ______ _____ ______ _____.
_______ _____ _______ ___ ____ __________ ________ _____.
____ __________ ___ _________ ______.
___ ______ __________ _________ ___ __________ ________.
___ ______ ___ ___ _______ ________ ___ _________ _____.
__________ __________ _________ __________ ________.
_____ ___ ________ ________ ____ _________ ____.
__________ __________ ____ _____ __________ ______.
____ _____ __________ _____ __________ ____ ___ _______.
________ _____ __________ ________ ________ _____.
________ _________ ___ _________ __________ ________ ________ ________ ________.
_____ ___ ______ ____ ______ __________ _________.
______ _________ _______ __________ ________.
________ _____ ____ _______ _____.
___ ______ _______ ______ ____ ______ _____.
_____ __________ ________ __________ _____.
_____ _______ ________ _________ __________ __________ _________ ___ _____.
____ ______ _________ _________ __________ ______ ______ __________.
____ _____ _____ _____ ____.
_________ _______ ________ _________ ___ __________ _________ _____ ___ __________.
___ ___ _________ ______ _________ ___ ______ __________ __________ _____ ____.
_________ _________ _______ ________ _____ ______ ______ ________ __________ _______ ___.
_________ ______ _______ ______ _______ ___ _______ _________ _____.
___ ____ _____ ____ ____ _______.
__________ ____ _____ ________ __________ ____ _______ _________.
_____ _______ ____ __________ ____.
__________ _____.
Get Full Answer on WhatsApp
To check whether the regressions are linear, we first need the conditional expectations (E[Y \mid X=x]) and (E[X \mid Y=y]). The joint pdf is: [ f(x, y) = y^2 e^{-y(x+1)}, \quad x \ge 0, y \ge 0. ] Step 1: Find the marginal pdfs. (a) Marginal of X) [ f_X(x) = \int_0^\infty f(x,y), dy = \int_0^\infty y^2 e^{-y(x+1)} , dy. ] Use the formula (\int_0^\infty y^2 ____ ___ _______ ________ _______ _________ _______ ______.
___ ____ __________ _________ _______ ___ ______ _____ ______ _____.
_______ _____ _______ ___ ____ __________ ________ _____.
____ __________ ___ _________ ______.
___ ______ __________ _________ ___ __________ ________.
___ ______ ___ ___ _______ ________ ___ _________ _____.
__________ __________ _________ __________ ________.
_____ ___ ________ ________ ____ _________ ____.
__________ __________ ____ _____ __________ ______.
____ _____ __________ _____ __________ ____ ___ _______.
________ _____ __________ ________ ________ _____.
________ _________ ___ _________ __________ ________ ________ ________ ________.
_____ ___ ______ ____ ______ __________ _________.
______ _________ _______ __________ ________.
________ _____ ____ _______ _____.
___ ______ _______ ______ ____ ______ _____.
_____ __________ ________ __________ _____.
_____ _______ ________ _________ __________ __________ _________ ___ _____.
____ ______ _________ _________ __________ ______ ______ __________.
____ _____ _____ _____ ____.
_________ _______ ________ _________ ___ __________ _________ _____ ___ __________.
___ ___ _________ ______ _________ ___ ______ __________ __________ _____ ____.
_________ _________ _______ ________ _____ ______ ______ ________ __________ _______ ___.
_________ ______ _______ ______ _______ ___ _______ _________ _____.
___ ____ _____ ____ ____ _______.
__________ ____ _____ ________ __________ ____ _______ _________.
_____ _______ ____ __________ ____.
__________ _____.
Get Full Answer on WhatsApp
IGNOU NEWS
Assignment Submission Last Date Extended Till 30 June 2026 Click Here★★★IGNOU June 2026 TEE Date Sheet Released Click Here★★★