Method behind Madness: Linear Regression - Part 2
In Simple Linear Regression, where we had only two variables, made a 2D plot. The "best fit" linear model there was a line. In case of three variables, the points are gonna make a 3D plot. In this case, the "best fit" linear model is a plane! What about 'n' variables and hence 'n' dimensions?