Out of the following three measures, which can measure any type of relationship:
Scatter diagram
Spearman's rank correlation
Karl Person's coefficient of correlation
Normal distribution
Correlation between two or more variables can be:
Positive correlation
Negative correlation
Linear correlation
Correlation
When there is positive relation between two variables, than necessary:
Both variables decrease
Both variable increase
Both the variables increase or decrease
One variable decreases and other variable increases
When both variables change in the same direction, then correlation is:
Positive
Negative
Multiple
Constant
The value of correlation coefficient is always:
More than zero
Between +1 and -1
Less than +1
Less than -1
The following scatter diagram shows that:
Correlation is perfect negative
Correlation is perfect positive
Correlation is low positive
Correlation is low negative
Changes in the two variable if exactly proportional and in opposite direction are expressed as:
Perfect correlation
Perfect Positive
Perfect negative correlation
The range of simple correlation coefficient is:
0 to infinity
Minus one to plus one
Minus infinity to infinity
0 to one
The relation existing between income and expenditure is:
Positive relation
No correlation
No certain relation
For the calculation of coefficient of correlation, following formula:
Spearman
Karl Pearson
Max D. Lorenz
Adam smith