Linear Correlation Coefficient
The correlation coefficient is a statistical measure that indicates how a change in the value of one variable affects the
When the value of a variable changes in the same direction as the other, we say that there is a positive correlation or positive correlation coefficient. On the contrary the correlation is negative. However, when a variable increases or decreases in value, at random, the correlation is null or does not exist.
In the Cartesian system where the independent variables are on the axis (x) and the dependent variables on Y axis, the correlation is linear when the points are distributed in the straight line. When the points spread around a curve, we say that the correlation is not linear.
In so far as, the independent variables deviate from the straight line, the correlation is perfect, moderate or imperfect.
The correlation coefficient ranges from -1 to +1 and the closer to the ends, more strong, the correlation.
A good example for correlation: Total sales and commercial visitors.
How to calculate Linear Correlation Coefficient.
Percent of a number Percent of a total Accumulated total by a percentage Percentage of two numbers Arithmetic mean Geometric mean Harmonic mean Quadratic mean Weighted mean Weighted geometric mean Weighted harmonic mean Standard Deviation Correlation Coefficient Simple Linear Regression Quadratic equation Cubic equation solver Polynomial evaluation Nth root solver Nth Power of a number Logarithm & antilogarithm solver Trigonometric Functions Inverse Trigonometric Functions Directly proportional division Inversely proportional division Determinant matix 3 by 3 Linear equations in two variables Linear equations in three variables Rule of three - Direct proportion Rule of three - Inverse proportion Compound Rule of three Restaurant - checking the bill