Let X and Y be two random variables with , , , , and . Find (i) Cov[X,Y]; (ii) the Pearson correlation coefficient ; (iii) .
Tap an option to check your answer.
Let X and Y be two random variables with , , , , and . Find (i) Cov[X,Y]; (ii) the Pearson correlation coefficient ; (iii) .
Tap an option to check your answer.
Checking your account…
Let X and Y be two random variables with E[X]=3, E[Y]=0, V[X]=4, V[Y]=25, and E[XY]=5. Find (i) Cov[X,Y]; (ii) the Pearson correlation coefficient ρ_(X,Y); (iii) V[X+Y]. (A) 0.5, 5, 39 (B) 5, 0.5, 34 (C) 5, 5, 39 (D) 5, 0.5, 39
Also written as: Let X and Y be two random variables with E[X]=3, E[Y]=0, V[X]=4, V[Y]=25, and E[XY]=5. Find (i) Cov[X,Y]; (ii) the Pearson correlation coefficient rho_(X,Y); (iii) V[X+Y].
Joint distributions, covariance and correlation has come up 61 times in 7 exams since 2005.
This question is on Covariance and its properties, part of Joint distributions, covariance and correlation in Statistics.
How two variables move together and how covariance combines.
TestStop has 9 past-paper questions on this subtopic.
Question from the DSE 2007 paper. Solutions are TestStop's own. Not affiliated with or endorsed by any examination authority.