Karl Pearson’s Algorithm in Python

Karl Pearson’s Correlation:

To deduce the degree of correlation between two variables, Karl Pearson deduced a formula in 1896.

To break this up, it means ” Pearson’s Correlation co-efficient” is :-

  •  useful to measure how strong a relationship is between two variables,
  •  commonly used in linear regression.

..basically it concerns with collection, manipulation, management, organization and analysis of numeric data.

What is it used for ?

Much used for data fitting in all sciences, to tell how related two or more variables under consideration are:-
Ok, alright !! When you,

  1. Want to see relation between your diet and weight? ….Use Karl Pearson’s correlation
    This is a positive relationship as variables change in same direction. So is, the relationship between your height and weight (yes !!…I just judged you.) and also between your diet and weight
  2. Want to see relation between Price and quantity in demand ? ….Use Karl Pearson’s correlation
    This is a negative relationship as variables change in opposite direction.  So is, alcohol consumption and driving ability.

Read More