What is regression?
Regression Analysis is a supervised learning analysis where supervised learning is the analyzing or predicting the data based on the previously available data or past data. For supervised learning, we have both train data and test data. Regression analysis is one of the statistical methods for the analysis and prediction of the data. Regression analysis is used for predictive data or quantitative or numerical data.
In R Programming Language Regression Analysis is a statistical model which gives the relationship between the dependent variables and independent variables. Regression analysis is used in many fields like machine learning, artificial intelligence, data science, economics, finance, real estate, healthcare, marketing, business, science, education, psychology, sports analysis, agriculture, and many more. The main aim of the regression analysis is to give the relationship between the variables, nature, and strength among the variables, and make predictions based on the model.
What is Regression Analysis?
In this article, we discuss about regression analysis, types of regression analysis, its applications, advantages, and disadvantages.