Calc Correlation Coefficient & Regression Equation for Normal Variable X

AI Thread Summary
The discussion focuses on calculating the correlation coefficient and regression equation for a normal variable X based on provided values of a standard normal variable Z. The correlation coefficient was initially calculated as 1, and the regression equation derived was x = 12.5z + 59.5. A clarification was made that the regression should predict x when z is known, not unknown. The values for the mean (μ) and variance (σ²) were determined to be μ = 59.5 and σ = 12.5. The conversation highlights the importance of correctly interpreting statistical relationships in regression analysis.
steven10137
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Homework Statement


x represents values of a Normal random variable X, with parameters \mu and \sigma^2
z represents corresponding values of normal random variable Z, with parameters 0 and 1.

z x
-3 22
-2 34.5
1 72
3 97

The following questions relate to the tabled data:
a) calculate the correlation co-efficient between z and x.
b) calculate the regression equation used to predict x if z is unknown
c) determine the values of \mu and \sigma^2

2. The attempt at a solution
Well the random variable Z has a mean 0 and variance 1, meaning that it is a standard normal distribution.

a) can I just use a linear regression on the data? this gives a correlation co-efficient of 1
b) using the same regression, x=12.5z+59.5 ??
c) Now I am stuck.

Cheers
Steven
(sorry I have exams coming up ... hence the rush of posts)
 
Last edited:
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"used to predict x if z is unknown" doesn't make sense. You have to know at least one.

For correlation I wouldn't estimate the regression; just the simple correlation between x and z.

Independent of 1 and 2, what do you think the answer to 3 might be?
 
it can't be as simple as:
\mu=0
and
\sigma^2=1

can it?
 
damn just realized:

part b should be:
"calculate the regression used to predict x if z is known"

sorry
 
dont worry finally got it:
\mu=59.5
and
\sigma=12.5

thanks
 
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