Regression question

ami44

Well-Known Member
Subscriber
Hi seidu,

the important fact here is, that R1 and R2 are from a multivariate standard distribution. That means their variance is 1.
Since s(R2)^2 = 0.4^2 * s(R1)^2 + x^2 * s(Z)^2 and we know that s(R1) = s(R2) = s(Z) = 1 we can conclude that x = 0.92 i.e. answer A is correct.
 
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