Correlation between two or more variables can be:
Positive correlation
Negative correlation
Perfect postive
All of the above
When both variables change in the same direction, then correlation is:
Positive
Negative
Multiple
Constant
The symbolic word for correlation coefficient is:
r
Y
Z
The value of correlation coefficient is always:
More than zero
Between +1 and -1
Less than +1
Less than -1
Changes in the two variable if exactly proportional and in opposite direction are expressed as:
Perfect correlation
Perfect Positive
Perfect negative correlation
The measure related to correlation is:
Arithmetic mean
Standard deviation
Range
Regression
Linear correlation means that the correlation between two variables is:
Perfectly positive
Perfectly Negative
Positive or Negative relation and the degree of relationship between two variables is equal at different levels.
Correlation is zero
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 range of simple correlation coefficient is:
0 to infinity
Minus one to plus one
Minus infinity to infinity
0 to one
If rxy = 0, then:
X increases with increase in Y
X increases with decrease in Y
X does not change with change in Y
Y does not change with change in X