Respuesta :
The disadvantage of using a linear model is that; It is sensitive to outliers and prone to multicollinearity.
What is the Linear Regression Model?
Linear regression is defined as a regression technique whereby the independent variable has a linear relationship with the dependent variable.
Now, there are some advantages of this model in statistics such as;
- Linear regression performs exceptionally well for linearly separable data.
- It is easy to implement and interpret.
- It carries out extrapolation beyond a specific data set.
However, there are some disadvantages such as;
It is very sensitive to outliers.
It is prone to having multicollinearity.
It assumes linearity between dependent and independent variables.
Read more about Linear Regression Model at; https://brainly.com/question/17844286
