Least Square Method (Curve Fitting)

Least square method or Least square regression is an approach followed in curve fitting, where we obtain the best-fit curve/line corresponding to a set of data points. This approach tries to minimize the sum of the square of the errors (or residuals) in the set of data points. In this video, I try to obtain the slope and intercept of a best fit straight line passing through a set of data points using the Least square method. ▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱ Support💖  / dibyajyotidas   Donate🤝🏻https://paypal.me/FortheLoveofPhysics Telegram - https://t.me/FortheLoveofPhysicsYT ▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱