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12.4 Exercise 37

Avg difficulty 2.5

(See the exercise, and Exercises 9 and 10 from "Problems on Functions of Random Variables"). For the pair {X,Y}\left\{X , Y\right\} in the exercise, let

Z = g ( X , Y ) = 3 X 2 + 2 X Y - Y 2 Z = g \left(X , Y\right) = 3 X^{2} + 2 X Y - Y^{2}
W = h ( X , Y ) = X for X + Y ≤ 4 2 Y for X + Y > 4 = I M ( X , Y ) X + I M c ( X , Y ) 2 Y W = h \left(X , Y\right) = \left\{\begin{matrix} X & \text{for} X + Y \leq 4 \\ 2 Y & \text{for} X + Y > 4 \end{matrix}\right = I_{M} \left(X , Y\right) X + I_{M^{c}} \left(X , Y\right) 2 Y

Determine the joint distribution for the pair {Z,W}\left\{Z , W\right\} and determine the regression line of W on Z.

Pfeiffer, Applied Probability, 12.4 Problems on Variance, Covariance, Linear Regression, exercise 37

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Adapted from Applied Probability © 2009 Paul E. Pfeiffer. Licensed under CC BY 3.0. Source: Applied Probability. Imported at revision d7a0420.