Regression Analysis

Regression analysis is a statistical method used to determine the relationship between a dependent variable and one or more independent variables. It is used to predict the value of the dependent variable based on the values of the independent variables. Regression analysis is widely used in data science and artificial intelligence to build predictive models. There are different types of regression analysis, including linear regression, logistic regression, polynomial regression, and multiple regression. Linear regression is used when the relationship between the dependent variable and independent variable is linear. Logistic regression is used when the dependent variable is categorical. Polynomial regression is used when the relationship between the dependent variable and independent variable is non-linear. Multiple regression is used when there are multiple independent variables that affect the dependent variable.
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