Lesson 2 overview#
In this week’s lesson we will learn a few ways in which observations (data) can be compared to predictions. As was the case last week, we will continue to focus more on quantitative and geological concepts, rather than learning new Python skills.
Learning objectives#
After completing this week’s lesson you should be able to:
Understand the general concept of fitting a model to data
Calculate the goodness-of-fit for discrete point data using the weighted sum of the squared errors
Calculate unweighted best-fit lines to x-y data using a least squares regression
Lesson materials#
Lesson notebook file(s)#
Lesson 2 notebook file(s)
Lesson video(s)#
Lesson 2 - Least squares, correlations, and goodness-of-fit
Dave Whipp, University of Helsinki @ Quantitative Geology channel on Youtube.