The Correlation Coefficient Is A Single Number Which Represents The Degree Of Correlation Between The Difference Of One Variable.?
Answer:
The simple linear correlation measures the strength of linear relationship between two variables. The value of correlation coefficient lies between negative one positive one. The correlation is said to positive or direct if the two random variables tend to move surrounded by the same direction. If variables have correlation is equal to +1 then it is call perfect positive correlation. The correlation is said to be negative or inverse if the two random variables tend to move contained by opposite directions. The correlation is perfect negative if correlation coefficient is equal to -1. Coefficient of correlation determines the interdependency of two variables. The formula for correlation coefficient is;
r = Cov(x, y)/[VarX * VarY]1/2
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