Variance, Covariance, and Correlation

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.