i think correlatioin is a nonresistant measure because if you take out outliers than only the data that's close together is there...this will increase the correlation closer to -1 or 1, depending on the slope
no
No, it is not resistant to changes in data.
A scatter graph can be used to establish whether or not there is correlation and to get an approximate idea as to its strength. But no graph will actually measure correlation.
The mean is called a non-resistant measure in statistics.
The temporal correlation would measure the similarity of one signal over time.
no
No, it is not resistant to changes in data.
A scatter graph can be used to establish whether or not there is correlation and to get an approximate idea as to its strength. But no graph will actually measure correlation.
The mean is called a non-resistant measure in statistics.
correlation measure the strength of association between to variables.but some times both variables are not in same units.so we cannot measure it with the help of correlation. in this case we use its coefficent which mean unit free. that,s why we use it.
A correlation is a statistical relationship between two or more variables. A correlation coefficient is when a researcher compares their result to another to see if they look more or less the same meaning if it is reliable or not.
The temporal correlation would measure the similarity of one signal over time.
cofficient of rank correlation
we can measure earth resustance with megger.b.vigneshwar
A negative correlation is a measure of the linear component of a relationship where one variable increase as the other decrease.
Correlation is a statistical measure of the linear association between two variables. It is important to remember that correlation does not mean causation and also that the absence of correlation does not mean the two variables are unrelated.
relationship between 2 variables