Correlation
What is perfect correlation? Give two examples.
Perfect correlation is that where changes in two related variables are exactly proportional. It is of two types:
(i) Positive perfect correlation and (ii) Negative perfect correlation.
There is perfect positive correlation between the two variables of equal proportional changes are in the same direction. It is expressed as +1. If equal proportional changes are in the reverse direction. Then there is negative perfect correlation and it is described as –1.
(a) Example of positive perfect correlation
Price (Rs): 1 2 3 4 5
Supply (units) : 10 20 30 40 50
(b) Example of perfect negative correlaion
Price (Rs): 1 2 3 4 5
Demand (units) : 50 40 30 20 10 Q. 5. Define simple, and partly correlation.
Ans. Simple Correlation : When the relationship between two variables is studied and of these two variables one is independent and the other is dependent, then such correlation is called simple correlation. For example, relationship between income and expenditure.
Partial Correlation : When more than two variables are involved and out of these the relationship between two variables is studied only treating other variables as constant, then such correlation is partial.
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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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