Undergrad Sampling from a multivariate Gaussian distribution

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Multiplying by sigma in a Gaussian distribution does not rotate it but scales the distribution. The discussion highlights that the variables x and y are treated as dummy variables on the x-axis, with y representing the probability density of a normal distribution. The peak of y is at zero, while x peaks at mu. The example provided fails to demonstrate a true multivariate distribution, instead illustrating two separate univariate distributions. Understanding the distinction between univariate and multivariate distributions is crucial in this context.
asilvester635
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I was watching a lecture on youtube about linear regression and there's a section where it had the statement below (written in purple). Does multiplying by sigma rotate the distribution to make it look like x - N(mew, sigma^2)? Mew in this case is 0 so it doesn't shift the distribution.

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To me ##x## and ##y## are just dummy variables, and both are on the x-axis, or should be, because the y-axis represents the distribution of the probability density, which in this case is a normal distribution. ##y## has its peak at zero on the x-axis, and ##x## has its peak at ##\mu## on the x-axis.
 
asilvester635 said:
Sampling from a multivariate Gaussian distribution

The example you gave doesn't illustrate a "multivariate" distribution. It illustrates two univariate distributions.
 
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