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NAME: YUGABHARATHI M

REG NO: 24900675

Correlation and regression for data analysis

Aim :

To analyse given data using coeffificient of correlation and regression line image

Software required :

Python

Theory:

Correlation describes the strength of an association between two variables, and is completely symmetrical, the correlation between A and B is the same as the correlation between B and A. However, if the two variables are related it means that when one changes by a certain amount the other changes on an average by a certain amount.

If y represents the dependent variable and x the independent variable, this relationship is described as the regression of y on x. The relationship can be represented by a simple equation called the regression equation. The regression equation representing how much y changes with any given change of x can be used to construct a regression line on a scatter diagram, and in the simplest case this is assumed to be a straight line.

Procedure :

image

Program :

image

Output

Screenshot 2024-12-18 155000

Result :

The Correlation and regression for data analysis of objects from feeder using probability distribution are calculated.

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