Regression analysis is a statistical process for estimating the relationships between two or more variables. The relationship is modeled as $y∼x$ or $y=f(x)$. Both model descriptions indicate that the variable $y$ is a function of $x$. Therefore the variable $y$ is denoted as the response or dependent variable, whereas the variable $x$ is denoted as the predictor or independent variable.

For this part we rely on the following modules, libraries, and packages:

  • NumPy
  • pandas
  • statsmodels
  • matplotlib
  • and seaborn

Citation

The E-Learning project SOGA-Py was developed at the Department of Earth Sciences by Annette Rudolph, Joachim Krois and Kai Hartmann. You can reach us via mail by soga[at]zedat.fu-berlin.de.

Creative Commons License
You may use this project freely under the Creative Commons Attribution-ShareAlike 4.0 International License.

Please cite as follow: Rudolph, A., Krois, J., Hartmann, K. (2023): Statistics and Geodata Analysis using Python (SOGA-Py). Department of Earth Sciences, Freie Universitaet Berlin.