Calc Correlation Coefficient & Regression Equation for Normal Variable X

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Homework Help Overview

The discussion revolves around calculating the correlation coefficient and regression equation for a normal random variable X based on provided data points relating to another normal variable Z. The context involves understanding relationships between these variables and determining their statistical parameters.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the use of linear regression to find the correlation coefficient and regression equation. Questions arise about the interpretation of regression in relation to known and unknown variables. There is also exploration of the parameters \mu and \sigma^2 for the normal distribution.

Discussion Status

The discussion includes attempts to clarify the requirements for regression analysis and the correlation coefficient. Some participants express uncertainty about the assumptions being made, particularly regarding the parameters of the normal distribution. There is an acknowledgment of a misunderstanding in the phrasing of the regression question, leading to further exploration of the correct approach.

Contextual Notes

Participants are navigating the constraints of the problem, including the need for clarity on the definitions and relationships between the variables involved. There is mention of exam pressures influencing the pace of the discussion.

steven10137
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Homework Statement


x represents values of a Normal random variable X, with parameters [tex]\mu[/tex] and [tex]\sigma^2[/tex]
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 [tex]\mu[/tex] and [tex]\sigma^2[/tex]

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:
[tex]\mu=0[/tex]
and
[tex]\sigma^2=1[/tex]

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:
[tex]\mu=59.5[/tex]
and
[tex]\sigma=12.5[/tex]

thanks
 

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