Yes it is. If all the observations have the same non-zero value then the coefficient of variation will be zero.
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
no
One the main advantage of using the coefficient of variation over the standard deviation to measure volatility is the fact that CV is normalized and can be used to directly compare different asset's volatility. The standard deviation must be used in the context of the mean of the data.
That is not true. It is possible for a data set to have a coefficient of determination to be 0.5 and none of the points to lies on the regression line.
No
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
The coefficient of variation is usually calculated by diving the standard deviation by the mean of a particular set of data. The coefficient of variation is usually expressed as CV.
The coefficient of variation should be computed only for data measured on a ratio scale, as the coefficient of variation may not have any meaning for data on an interval scale. Using relative values instead of absolute values can cause the formula to give an incorrect answer.
The coefficient of variation is a method of measuring how spread out the values ββin a data set are relative to the mean. It is calculated as follows: Coefficient of variation = Ο / ΞΌ Where: Ο = standard deviation of the data set ΞΌ = average of the data set If you want to know more about it, you can visit SilverLake Consulting which will help you calculate the coefficient of variation in spss.
Yes, if there is no variation: all the data have to have the same value and that value must be non-zero.
The coefficient of variation is the ratio between the standard deviation and the mean.
no
Yes.
the R value in the calculator also known as the amount of correlation the data points fit
The Coefficient of Variation is a ratio showing the degree to which individual points of data in a sample deviate from the mean. It is calculated by taking the standard deviation of the sample and dividing that by the mean of the sample. It can be useful for comparing different data sets because it is a ratio (or percentage) and not an absolute number.
One the main advantage of using the coefficient of variation over the standard deviation to measure volatility is the fact that CV is normalized and can be used to directly compare different asset's volatility. The standard deviation must be used in the context of the mean of the data.