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
When both variables change in the same direction, then correlation is:
Positive
Negative
Multiple
Constant
Correlation between two or more variables can be:
Positive correlation
Negative correlation
Linear correlation
Correlation
The following scatter diagram shows that:
Correlation is perfect negative
Correlation is perfect positive
Correlation is low positive
Correlation is low negative
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
The value of correlation coefficient is always:
More than zero
Between +1 and -1
Less than +1
Less than -1
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 measure related to correlation in:
Arithmetic mean
Standard deviation
Range
Regression
For the calculation of coefficient of correlation, following formula:
Spearman
Karl Pearson
Max D. Lorenz
Adam smith
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.
