For the calculation of coefficient of correlation, following formula:
Spearman
Karl Pearson
Max D. Lorenz
Adam smith
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
Correlation between two or more variables can be:
Positive correlation
Negative correlation
Perfect postive
All of the above
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.
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
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 measure related to correlation is:
Arithmetic mean
Standard deviation
Range
Regression
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 range of simple correlation coefficient is:
0 to infinity
Minus one to plus one
Minus infinity to infinity
0 to one
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
