The relation existing between income and expenditure is:
Negative correlation
Positive relation
No correlation
No certain relation
Correlation between two or more variables can be:
Positive correlation
Linear correlation
Correlation
Changes in the two variable if exactly proportional and in opposite direction are expressed as:
Perfect correlation
Perfect Positive
Perfect negative correlation
The following scatter diagram shows that:
Correlation is perfect negative
Correlation is perfect positive
Correlation is low positive
Correlation is low negative
For the calculation of coefficient of correlation, following formula:
Spearman
Karl Pearson
Max D. Lorenz
Adam smith
The other name of rank correlation is:
Karl Pearson's correlation coefficient
Scatter diagram
Liner relation
Spearman's correlation coefficient
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
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 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
