The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate correlation coefficient. If you look at the multiple regression we did, ...

For the model x and y are considered variables. But in the process of fitting the experimental points x i and y i are fixed whereas a and b are varied until the best match between the experimental ...

It only makes sense. I did linear regression in google docs and I did it for python. But what if you neither of those? Can you do it by hand? Why yes. Suppose I take the same data from the pylab ...

Linear regression and principal components analysis are examples of plane fitting methods. Plane fitting is a very important activity in multivariate statistical analysis. The geometry of plane ...