Standard deviation of response

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Homework Help Overview

The discussion revolves around finding the standard deviation in the context of a linear model. Participants are exploring the relationships between standard deviation, variance, and covariance, as well as the correlation coefficient in various scenarios.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the need for a clear model definition and the implications of linearity on standard deviation and covariance. Questions arise about the correlation coefficient in fully, partially, and negatively correlated variables. There is also a mention of a potentially incorrect formula related to covariance.

Discussion Status

The conversation is active, with participants providing insights and corrections regarding definitions and relationships among statistical concepts. Some guidance has been offered regarding the interpretation of covariance and correlation, but there is no explicit consensus on the formula mentioned.

Contextual Notes

Participants are working under the assumption that the model is linear and are questioning the adequacy of the information provided for calculating standard deviation. There is also a reference to potential confusion regarding statistical definitions and formulas encountered online.

MahaRoho
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Homework Statement
I have to find the standard deviation
Relevant Equations
There are not any
part4.jpg
 
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MahaRoho said:
Homework Statement:: I have to find the standard deviation
Relevant Equations:: There are not any
I would think that this is not good enough. What form does the model have? Is the model a linear model? Are there equations for the mean and variance of the model?
 
The model is linear. The nominal values are the means of those parameters.
1. I need to know the standard deviation of a single variable that includes the covariance of that variable.
2. What is the value of correlation co efficient if the variables are fully correlated (I think it is 1), partially (0-1) and anti (0 to -1)?
 
MahaRoho said:
The model is linear.
Then you should start by writing down the general form of a linear model and then translate the additional information into statements about that model.
MahaRoho said:
The nominal values are the means of those parameters.
1. I need to know the standard deviation of a single variable that includes the covariance of that variable.
A single variable does not have a covariance, it has a variance.
CORRECTION: Although the covariance is defined as cov(X,Y)=E[(X-E[X])(Y-E[Y])], there is nothing that says that X and Y have to be different. If they are the same random variable, the covariance is the variance.
MahaRoho said:
2. What is the value of correlation co efficient if the variables are fully correlated (I think it is 1)
Yes.
MahaRoho said:
, partially (0-1)
Possibly. Some people would include the negative values (-1,1)
MahaRoho said:
and anti (0 to -1)?
Yes. That is also called "negative correlation" and "inverse correlation". I call variables "correlated" even if it is negative and if I want to distinguish positive from negative, I call them "positively correlated" or "negatively correlated". But others might prefer other terminology. In any case, the term "correlation" or "correlation coefficient" includes both the positive and negative cases.
 
Last edited:
Thanks a lot for the reply. Btw, I think I saw a formula on the internet like Covariance(x)=Standard deviation/ mean... Is that formula correct?
 
MahaRoho said:
Thanks a lot for the reply. Btw, I think I saw a formula on the internet like Covariance(x)=Standard deviation/ mean... Is that formula correct?
No, that is not correct. But I have corrected my comment about the covariance in post #4.
The definition of covariance of random variables X and Y is cov(X,Y)=E[(X-E[X])(Y-E[Y])].
 
Maybe a good starting point is writing down what the definition of sensitivity is.
 
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