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
Changes in the two variable if exactly proportional and in opposite direction are expressed as:
Perfect correlation
Perfect Positive
Positive correlation
Perfect negative correlation
If rxy is positive the relation between X and Y is of the type:
When Y increases X increases
When Y decreases X increases
When Y increases X does not change
When Y increases X decreases
The other name of rank correlation is:
Karl Pearson's correlation coefficient
Liner relation
Spearman's correlation coefficient
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
The symbolic word for correlation coefficient is:
r
Y
Z
The range of simple correlation coefficient is:
Minus infinity to infinity
0 to infinity
Minus one to plus one
0 to hundred
Correlation between two or more variables can be:
Negative correlation
Linear correlation
Correlation
When both variables change in the same direction, then correlation is:
Positive
Negative
Multiple
Constant
Which is the example of negative correlation?
Age of husband and age of wife
Increase in cost of advertisement and increase in sales
Demand of a commodity may go down as a result of rise in prices
Price of commodity and amount of supply