V/1.What is multi-collinearity and how does it affects the multi-regression model?
V/2.What is multi-collinearity and how does it affects the multi-regression model?
The main objective of the multi-regression model is to learn about the relationship between several independent or predictor variables and a dependent or criterion variable. So we have one dependent and a multitude of independent variables that the multi-regression model tests. Multi-collinearity affects the multi-regression model in a negative way. When the independent variables are inter-correlated instead of independent, the condition is known as multi-collinearity. There are a set of variables that is redundant, which can render ineffective methods to solving the regression equations