# Part 1: Familiarization with the data

In this section, we are going to familiarize ourselves with the data. This portion will be so that we can all have a baseline understanding of the data.

# Part 2: Data Analysis

In this section, we will explore how to use linear regression and bayesian inference to set estimates with errors on the parameters governing the M-sigma relation

coefficient of determination: 0.698146674681597 $\alpha$ : -8.20E-01 $\beta$ : 3.91E+00

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## More from Carter Rhea

PhD Student in Astrophysics at the University of Montreal working on machine learning in astronomy. Co-founder of cadena.ca

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## Carter Rhea

PhD Student in Astrophysics at the University of Montreal working on machine learning in astronomy. Co-founder of cadena.ca