Linear Regression Formula Explained. β1 is the slope. This blog post will talk about some of the most commonly techniques used to train a linear regression model.
If we wanted to use linear regression to predict the price of a house using 2 features. For example let s say that gpa is best predicted by the regression equation 1 0 02 iq. This blog post will talk about some of the most commonly techniques used to train a linear regression model.
Xi is the value of the ith feature.
Multiple linear regression is a generalization of simple linear regression to the case of more than one independent variable and a special case of general linear models restricted to one dependent variable. B 6 152 06 37 75 24 17 6 237 69 37 75 2. ŷ is the value we are predicting. If we wanted to use linear regression to predict the price of a house using 2 features.
