Simple correlation question












1












$begingroup$


Let $Z$ and $Y$ be standard normal and independent random varibales. Define $X := sqrt{p} Z + sqrt{1-p} Y$. What is the correlation between X and Z?



My approach:



Corr(X, Z) = $E(XZ) /1 = E(sqrt{p} Z^2) / 1 = sqrt{p}$



However, a book I am reading says that the correlation is $p$. Am I missing something?










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$endgroup$












  • $begingroup$
    Your answer is correct by the way.
    $endgroup$
    – StubbornAtom
    Jan 7 at 11:55










  • $begingroup$
    The book is wrong, unless you misread something. Perhaps the linear combination was meant to be $X := sqrt{p^2} Z + sqrt{1-p^2} Y$?
    $endgroup$
    – leonbloy
    Jan 7 at 14:42










  • $begingroup$
    Just to concur with the other comments: The usual way to define simple serial correlation in a time series is $X_i=rho X_{i-1}+sqrt{1-rho^2} Z_i$ so $sqrt{rho}$ is almost certainly a typo and should simply be $rho$.
    $endgroup$
    – JimB
    Jan 7 at 15:12
















1












$begingroup$


Let $Z$ and $Y$ be standard normal and independent random varibales. Define $X := sqrt{p} Z + sqrt{1-p} Y$. What is the correlation between X and Z?



My approach:



Corr(X, Z) = $E(XZ) /1 = E(sqrt{p} Z^2) / 1 = sqrt{p}$



However, a book I am reading says that the correlation is $p$. Am I missing something?










share|cite|improve this question









$endgroup$












  • $begingroup$
    Your answer is correct by the way.
    $endgroup$
    – StubbornAtom
    Jan 7 at 11:55










  • $begingroup$
    The book is wrong, unless you misread something. Perhaps the linear combination was meant to be $X := sqrt{p^2} Z + sqrt{1-p^2} Y$?
    $endgroup$
    – leonbloy
    Jan 7 at 14:42










  • $begingroup$
    Just to concur with the other comments: The usual way to define simple serial correlation in a time series is $X_i=rho X_{i-1}+sqrt{1-rho^2} Z_i$ so $sqrt{rho}$ is almost certainly a typo and should simply be $rho$.
    $endgroup$
    – JimB
    Jan 7 at 15:12














1












1








1


1



$begingroup$


Let $Z$ and $Y$ be standard normal and independent random varibales. Define $X := sqrt{p} Z + sqrt{1-p} Y$. What is the correlation between X and Z?



My approach:



Corr(X, Z) = $E(XZ) /1 = E(sqrt{p} Z^2) / 1 = sqrt{p}$



However, a book I am reading says that the correlation is $p$. Am I missing something?










share|cite|improve this question









$endgroup$




Let $Z$ and $Y$ be standard normal and independent random varibales. Define $X := sqrt{p} Z + sqrt{1-p} Y$. What is the correlation between X and Z?



My approach:



Corr(X, Z) = $E(XZ) /1 = E(sqrt{p} Z^2) / 1 = sqrt{p}$



However, a book I am reading says that the correlation is $p$. Am I missing something?







probability statistics






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Jan 7 at 11:23









master_goonmaster_goon

1588




1588












  • $begingroup$
    Your answer is correct by the way.
    $endgroup$
    – StubbornAtom
    Jan 7 at 11:55










  • $begingroup$
    The book is wrong, unless you misread something. Perhaps the linear combination was meant to be $X := sqrt{p^2} Z + sqrt{1-p^2} Y$?
    $endgroup$
    – leonbloy
    Jan 7 at 14:42










  • $begingroup$
    Just to concur with the other comments: The usual way to define simple serial correlation in a time series is $X_i=rho X_{i-1}+sqrt{1-rho^2} Z_i$ so $sqrt{rho}$ is almost certainly a typo and should simply be $rho$.
    $endgroup$
    – JimB
    Jan 7 at 15:12


















  • $begingroup$
    Your answer is correct by the way.
    $endgroup$
    – StubbornAtom
    Jan 7 at 11:55










  • $begingroup$
    The book is wrong, unless you misread something. Perhaps the linear combination was meant to be $X := sqrt{p^2} Z + sqrt{1-p^2} Y$?
    $endgroup$
    – leonbloy
    Jan 7 at 14:42










  • $begingroup$
    Just to concur with the other comments: The usual way to define simple serial correlation in a time series is $X_i=rho X_{i-1}+sqrt{1-rho^2} Z_i$ so $sqrt{rho}$ is almost certainly a typo and should simply be $rho$.
    $endgroup$
    – JimB
    Jan 7 at 15:12
















$begingroup$
Your answer is correct by the way.
$endgroup$
– StubbornAtom
Jan 7 at 11:55




$begingroup$
Your answer is correct by the way.
$endgroup$
– StubbornAtom
Jan 7 at 11:55












$begingroup$
The book is wrong, unless you misread something. Perhaps the linear combination was meant to be $X := sqrt{p^2} Z + sqrt{1-p^2} Y$?
$endgroup$
– leonbloy
Jan 7 at 14:42




$begingroup$
The book is wrong, unless you misread something. Perhaps the linear combination was meant to be $X := sqrt{p^2} Z + sqrt{1-p^2} Y$?
$endgroup$
– leonbloy
Jan 7 at 14:42












$begingroup$
Just to concur with the other comments: The usual way to define simple serial correlation in a time series is $X_i=rho X_{i-1}+sqrt{1-rho^2} Z_i$ so $sqrt{rho}$ is almost certainly a typo and should simply be $rho$.
$endgroup$
– JimB
Jan 7 at 15:12




$begingroup$
Just to concur with the other comments: The usual way to define simple serial correlation in a time series is $X_i=rho X_{i-1}+sqrt{1-rho^2} Z_i$ so $sqrt{rho}$ is almost certainly a typo and should simply be $rho$.
$endgroup$
– JimB
Jan 7 at 15:12










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