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Minimize SSE to Find Least Squares Line for Three Data Points
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Given the three data points (1,2), (3,2), (4,3), what is the line of best fit (a.k.a. linear regression line, a.k.a least squares line). If we assume y = b1*x+b0, then we can solve for b1 and b0 by minimizing SSE ( Sum of Squared Errors ). This is done using partial derivatives and finding the critical point. Probability Statistics with Applications: A Problem Solving Text, 2nd Edition : https://amzn.to/3Vw5Z0g • #LinearRegression #LineOfBestFit #LeastSquares • Links and resources • =============================== • 🔴 Subscribe to Bill Kinney Math: https://www.youtube.com/user/billkinn... • 🔴 Subscribe to my Math Blog, Infinity is Really Big: https://infinityisreallybig.com/ • 🔴 Follow me on Twitter: / billkinneymath • 🔴 Follow me on Instagram: / billkinneymath • 🔴 You can support me by buying Infinite Powers, How Calculus Reveals the Secrets of the Universe , by Steven Strogatz, or anything else you want to buy, starting from this link: https://amzn.to/3eXEmuA. • 🔴 Check out my artist son Tyler Kinney's website: https://www.tylertkinney.co/ • • AMAZON ASSOCIATE • As an Amazon Associate I earn from qualifying purchases.
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