On the Ratio of Two Correlated Normal Random Variables
www.jstor.org › stable › 2334671The distribution of the ratio of two correlated normal random variables is discussed. The exact distribution and an approximation are compared. The comparison is illustrated numerically for the case of the normal least squares estimate of cc/,8 in the linear model E(yj) = ac +,i (i = 1, ..., n) with uncorrelated normal error terms. 1. INTRODUCTION
Correlation in Random Variables
www.cis.rit.edu › class › simg713Correlation Coefficient The covariance can be normalized to produce what is known as the correlation coefficient, ρ. ρ = cov(X,Y) var(X)var(Y) The correlation coefficient is bounded by −1 ≤ ρ ≤ 1. It will have value ρ = 0 when the covariance is zero and value ρ = ±1 when X and Y are perfectly correlated or anti-correlated. Lecture 11 4