It is the most commonly used method for predictive analytics. The Linear Regression method is used to describe relationship between a dependent variable and one or independent variable. The main task in the Linear Regression is the method of FITTING a single line within a SCATTER plot.

The Linear Regression consists of the FOLLOWING three METHODS:

Determining and analyzing the correlation and direction of the data

Deploying the estimation of the model

Ensuring the usefulness and validity of the model

It is extensively used in scenarios where the cause effect model comes into play. For example you want to know the effect of a certain action in order to determine the various outcomes and EXTENT of effect the cause has in determining the final outcome.

It is the most commonly used method for predictive analytics. The Linear Regression method is used to describe relationship between a dependent variable and one or independent variable. The main task in the Linear Regression is the method of fitting a single line within a scatter plot.

The Linear Regression consists of the following three methods:

Determining and analyzing the correlation and direction of the data

Deploying the estimation of the model

Ensuring the usefulness and validity of the model

It is extensively used in scenarios where the cause effect model comes into play. For example you want to know the effect of a certain action in order to determine the various outcomes and extent of effect the cause has in determining the final outcome.