The following scatter diagram shows that:
Correlation is perfect negative
Correlation is perfect positive
Correlation is low positive
Correlation is low negative
When both variables change in the same direction, then correlation is:
Positive
Negative
Multiple
Constant
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 range of simple correlation coefficient is:
Minus infinity to infinity
0 to infinity
Minus one to plus one
0 to hundred
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
0 to one
The measure related to correlation in:
Arithmetic mean
Standard deviation
Range
Regression
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
