Mini-Project-Linear_Regression

• Jonas Hein - https://github.com/Zenzus
• Thomas Ebsen - https://github.com/Srax
• Run notebook

Task 2 - Answer the questions

Different types of regression

• Simple Linear Regression
• Multiple Linear Regression
• Polynominal Regression

How do the three methods differ?

• Simple Linear Regression establishes the relationship between two variables using a straight line. It has only one x and one y variable.
• Multiple Linear Regressions is the same as Linear Regressions, however it has multiple X colums
• Polynomial Regression is a one of the types of linear regression in which the relationship between the independent variable x and dependent variable y is modeled as an nth degree polynomial.

In which type of projects each of them fits best?

• If your dataset has only two colums, use the Linear Regression porject.
• If your dataset has more than 2 features, use Multiple Linear Regression.
• If you have multiple data samples with a lot of features with exponential or inverse eksponentiel, use Polynomial Regression.