Linear Regression - Types of Regression

Regression analysis includes linear regression. Finding the relationship between the input and the goal variable is made easier with the use of the predictive modelling technique known as regression analysis.

Retrogression analysis is used for three Types

• Determining how input variables affect the target variable.

• Determining the difference between the target variable and one or more input variables.

• To learn about forthcoming trends.

Linear Regression

One of the most fundamental types of machine learning in the field of data science is linear regression, where we develop a model to forecast the behaviour of your data based on a few variables. As you can see from the name, linear regression requires that the two variables that are on the x- and y-axes have a linear correlation.

Linear Regression Types

There are two different types of linear regression algorithms:

Simple Linear Regression

A linear regression procedure is referred to as simple linear regression if only one independent variable is utilized to predict the value of a numerical dependent variable.

Multiple linear regression

A linear regression process is referred to as multiple linear regression if it uses more than one independent variable to forecast the value of a numerical dependent variable.

These are formal checks that are performed while developing a linear regression model to guarantee that the dataset will yield the best results.

• Target and feature relationships that are linear

• The assumption behind linear regression is that the dependent and independent variables have a linear relationship.

• The assumption underlying linear regression is that the pattern of the error term should resemble that of a normal distribution. Confidence intervals will develop either too broad or too narrow if error components are not normally distributed, which could cause identifying coefficients challenging.

You can visit linear regression vs logistic regression .

Conclusion Here, we explained about linear regression and types of linear Regression.