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Linear Regression | What is Multicollinearity ?
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TheDataMonk
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In Linear regression, multicollinearity occurs when one of the independent variables
is highly correlated with other independent variable.
It becomes difficult for the model to estimate the relationship between each independent
variable and the dependent variable independently because the independent variables tend
to change in unison.
One of the assumptions of linear regression is that independent variables individually should affect the dependent variables but should not affect each other. If it does, then that case is called as multicollinearity because model will not be able to determine proper relationship between dependent and independent variables