MahaRoho
- 5
- 0
- Homework Statement
- I have to find the standard deviation
- Relevant Equations
- There are not any
The discussion centers on calculating the standard deviation and understanding the correlation coefficient in the context of a linear model. It clarifies that a single variable's standard deviation is equivalent to its variance, as covariance applies only between two different variables. The correlation coefficient ranges from -1 to 1, indicating perfect negative to perfect positive correlation, respectively. Misconceptions regarding the formula for covariance are addressed, emphasizing that covariance cannot be expressed as standard deviation divided by mean.
PREREQUISITESStudents in statistics, data analysts, and anyone involved in quantitative research who needs to understand the relationships between variables and their statistical measures.
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?MahaRoho said:Homework Statement:: I have to find the standard deviation
Relevant Equations:: There are not any
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 model is linear.
A single variable does not have a covariance, it has a variance.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.
Yes.MahaRoho said:2. What is the value of correlation co efficient if the variables are fully correlated (I think it is 1)
Possibly. Some people would include the negative values (-1,1)MahaRoho said:, partially (0-1)
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.MahaRoho said:and anti (0 to -1)?
No, that is not correct. But I have corrected my comment about the covariance in post #4.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?