![]() So, our aim is to minimize the total residual error. Here, e_i is a residual error in ith observation. In this article, we are going to use the principle of Least Squares. And once we’ve estimated these coefficients, we can use the model to predict responses! ![]() To create our model, we must “learn” or estimate the values of regression coefficients b_0 and b_1.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |