Assumptions multiple regression in data anaytics
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Assumptions of Multiple Linear Regression
There must be a linear relationship between the outcome variable and the independent variables. ...
Multivariate Normality–Multiple regression assumes that the residuals are normally distributed.
No Multicollinearity—Multiple regression assumes that the independent variables are not highly correlated with each other.