Lecture

Variance, Covariance, and Correlation

In course

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Description

This lecture covers the concepts of variance, covariance, and correlation in statistics. It explains how variance measures the spread of a random variable, covariance quantifies the relationship between two random variables, and correlation assesses the linear dependence between them. The lecture also delves into the properties and interpretations of these statistical measures, highlighting their significance in data analysis and modeling.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ij4h64b4

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

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