What is Regression?What is Mutlicollinearity?

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Regression is a statistical technique used to understand the relationship between a dependent variable and one or more independent variables. Multicollinearity occurs when independent variables in a regression model are highly correlated.

Regression helps in predicting the value of the dependent variable based on the values of independent variables.
Multicollinearity can lead to issues in interpreting the coefficients of the independent variables in a regression model.
Detecting multicollinearity can be done using techniques like variance inflation factor (VIF) or correlation matrix analysis.

What is Regression?What is Mutlicollinearity?

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