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Correlation
What is Karl Pearson’s coefficient of correlation defined?
Karl Pearson’s coefficient of correlation : Karl Pearsons’s coefficient of correlation, is used to measure the degree of relationship between two or more variabless. It is represented by r. It is based on arithmetic mean and standard deviation. The coefficient of correlation (r) of two variables is obtained by dividing the sum of the products of the corresponding deviations of the various items of two series from their respective means by the product of their standard deviations and the number of pairs of observaions.
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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?
Does zero correlation mean independenc?
Can simple correlation coefficient measure any type of relationship?
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