Calculate the correlation coefficient with the help of following data: 1. The total of the squares of the differences of corresponding ranks of two series X and Y are 144 and 250 respectively and the sum of the multiples of their deviations is 90.
Calculate the correlation coefficient with the help of following data: 1. The total of the squares of the differences of corresponding ranks of two series X and Y are 144 and 250 respectively and the sum of the multiples of their deviations is 90.
If rxy = 0 the variable X and Y are:
Of the following three measures which can measure any type of relationship:
If precisely measured data are available the simple correlation coefficient is:
Why is r preferrred to co-variance as a measure of association?
Can r lie outside -1 and 1 range depending on the type of data?
Does correlation imply causation?
When is rank correlation more precise than simple correlation coefficient?
Does zero correlation mean independenc?
Can simple correlation coefficient measure any type of relationship?
Collect the price of five vegetables from your local market everyday for a week. Calculate their correlation coefficient. Interpret the result.
Mock Test Series