The other name of rank correlation is:
Karl Pearson's correlation coefficient
Scatter diagram
Liner relation
Spearman's correlation coefficient
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 = 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
The relation existing between income and expenditure is:
Negative correlation
Positive relation
No correlation
No certain relation
For the calculation of coefficient of correlation, following formula:
Spearman
Karl Pearson
Max D. Lorenz
Adam smith
When there is perfect positive correlation then the related line is:
Upward rising
Sloping downward right wards.
Parallel st.line to X axis
Parallel st.line to Y axis
The range of simple correlation coefficient is:
0 to infinity
Minus one to plus one
Minus infinity to infinity
0 to one
There is no correlation when:
All the points lie on a straight line rising from left to right
All the points lie on a narrow band rising from left to right
All the points are scattered all over the graph
When all the points are following a narrow band from left to right.
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
