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 coefficient is a measure of the strength and direction of a relationship between two variables. It quantifies how closely the two variables are related and ranges from -1 (perfect negative correlation) to 1 (perfect positive correlation), with 0 indicating no correlation.
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.
The temporal correlation would measure the similarity of one signal over time.
cofficient of rank correlation
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.
we can measure earth resustance with megger.b.vigneshwar
relationship between 2 variables