Statistics for Data Science 1 - W4_L6: Association between two numerical variables - covariance

Welcome to Week 4 Lecture 6 of the course "Statistics for Data Science - I" by Prof. Andrew Thangaraj. Full Course: https://study.iitm.ac.in/ds/course_pages/BSMA1002.html Video Overview In this lecture, you’ll learn how to describe the association between two numerical variables using scatter plots, covariance, and correlation. The session explains how covariance quantifies the strength and direction of a linear relationship, and how to interpret its sign to determine whether the association is positive or negative. Through practical examples involving age and height data, you’ll see how to calculate covariance in Google Sheets, interpret deviations from the mean, and connect these insights to real-world data analysis. This lecture lays the foundation for understanding correlation and deeper statistical relationships. About IIT Madras' online Bachelor of Science programme IIT Madras offers four-year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education), Diploma(s) from IIT Madras, or BSc/BS Degrees from IIT Madras. For more details, Visit: https://www.iitm.ac.in/academics/study-at-iitm/non-campus-bs-programmes #ScatterPlot #Association #Covariance #Correlation #LinearRelationship #DataAnalysis #Statistics #PneumaticVariables #DataScience #GoogleSheets #Mean #Deviation #StatisticalAnalysis #QuantitativeMethods #BivariateAnalysis #StatisticalLearning #DataInterpretation #NumericData