Statisticians use correlation and regression analysis to study the relationship between variables in Multi-variate data distribution. Correlation methods are used to determine whether a relationship exists between the variables, while regression analysis provides methods to measure and describe the relationship. The relationship found in Bivariate data sets, that is between the independent and dependent variables is called a simple relationship. The description of a correlation includes the direction, strength and shape of the relationship. The correlation is categorized in terms of direction as:1. Positive Correlation
2. Negative Correlation.
|Positive and Negative Correlation||A Negative Correlation||Correlation Statistics||The Correlation Coefficient|
|Positive Integers||Calculate Pearson Correlation Coefficient||Negative Exponent||Negative Logarithm|