The standard normal distribution,
has mean 0 and variance = standard deviation = 1. If we have two distributions
and
then the covariance between them is
If
and
are independent then
so
If however
and
are linear combinations of independently distributed standard normal distributions
say
and
then
and
are not independent, even though
and
are. We can find the
and the correlation between
and![]()
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and similarly![]()
Since
are
are independent,![]()
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The formula for the correlation between
and
is![]()
![]()
![]()
Then the correlation between
and
is![]()
We can follow the same procedure for any linear combination of standard normal distributions.
If
and
then ![]()
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![]()
![]()
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