Abstract
Chapter 6 deals with the descriptive statistics of bivariate data and regression analysis. It presents the concepts of covariance and correlation, and their implementation in Python. Then, it shows how to perform linear and nonlinear regression. Finally, it ends with an example of nonlinear regression in earth science: the application of the crystal-lattice-strain model to interpret experimental data in petrology.
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Petrelli, M. (2021). Descriptive Statistics 2: Bivariate Analysis. In: Introduction to Python in Earth Science Data Analysis. Springer Textbooks in Earth Sciences, Geography and Environment. Springer, Cham. https://doi.org/10.1007/978-3-030-78055-5_6
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DOI: https://doi.org/10.1007/978-3-030-78055-5_6
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