Simple Linear Regression. Simple linear regression is performed with one dependent variable and one independent variable. In our data, we declare the feature ‘bmi’ to be the independent variable.

When using regression analysis for forecasting and prediction, you need to validate and test your model on a separate set of data, account for uncertainty with confidence and prediction intervals ...

One of the most versatile regression diagnostic methods is to plot the residuals r i against the predictors (x i, r i) and the predicted values (ŷ i, r i) ().When noise assumptions are met, these ...

Multiple-output support vector regression is a method which implements support vector regression with multi-input and multi-output. This package is based on our paper Multi-step-ahead time series ...

This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The wind power ...