Statistics for Data Science 1 - W4_L8: Association between two numerical variables - fitting a line

Welcome to Week 4 Lecture 8 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 This lecture explores linear relationships between two numerical variables and demonstrates how to summarize them using a linear equation. You’ll learn how to fit a line to data in Google Sheets, interpret the equation (y = mx + c), and understand the roles of slope and intercept in describing trends. The session also introduces R-squared (R_), a key measure that indicates how well a fitted line explains the variation in your data. By the end of the lecture, you’ll gain the foundational skills needed to interpret and assess linear regression models effectively. 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 #linearregression #correlation #statistics #rsquared #googlesheets #dataanalysis #slope #intercept #numericalvariables #scatterplots #datascience #datavisualization #statisticallearning #bivariateanalysis #quantitativemethods #trendline #modelinterpretation