The following scatter diagram shows that:
Correlation is perfect negative
Correlation is perfect positive
Correlation is low positive
Correlation is low negative
When there is perfect positive correlation then the related line is:
Upward rising
Sloping downward light wards.
Parallel st.line to X axis
Parallel st.line to Y axis
Changes in the two variable if exactly proportional and in opposite direction are expressed as:
Perfect correlation
Perfect Positive
Positive correlation
Perfect negative correlation
The measure related to correlation in:
Arithmetic mean
Standard deviation
Range
Regression
The other name of rank correlation is:
Karl Pearson's correlation coefficient
Scatter diagram
Liner relation
Spearman's correlation coefficient
The relation existing between income and expenditure is:
Negative correlation
Positive relation
No correlation
No certain relation
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
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
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
