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Correlation
Why is r preferrred to co-variance as a measure of association?
r is preferred to co-variance as a measure of association because it studies and measures the direction and intensity of relationship among variables.
Some More Questions From Correlation Chapter
The unit of correlation coefficient between height in feet and weight in kgs is:
The range of simple correlation coefficient is:
If rxy is positive the relation between X an Y is of the type:
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?
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Mock Test Series
Mock Test Series