Lesson 10 Multiple Linear Regression The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an ...

The assignment was completely open-ended so my partner and I made the following proposal: Our final project would like to address the following questions: How well do neural networks realize ...

In the last few decades, building regression models for non-scalar variables, including time series, text, image, and video, has attracted increasing interests of researchers from the data analytic ...

The residual sum of squares (RSS) is a statistical technique used to measure the variance in a data set that is not explained by the regression model.

The bias of kernel methods based on local constant fits can have an adverse effect when the derivative of the marginal density or that of the regression function is large. The drawback can be repaired ...

To do this in R we must first make sure we limit our data frame to numerical variables (the regression function creates dummies automatically, but AirEntrain remains a categorical variable). To do ...