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 extension of Lesson 9. I will start with a ...

- Multiple linear regression model – worked example continued. Let’s say in our study we also collected patients’ weight in kilograms (kg). We may know from previous studies that weight can interfere ...

Around the globe, researchers are doubling down. New research uncovers major issue with tsunami warning systems: 'It's not a ...

Statistical data analysis in R covering the following topics: Simple and multiple linear regression, Model diagnostics, Detection of outliers, Multicollinearity, Introduction to GLMs. Teaching This ...

Multiple regression and regression diagnostics. Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals.

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 extension of Lesson 9. 10.1 Kitchen sink ...

- Multiple linear regression formula. The equation for multiple linear regression extended to two explanatory variables (x 1 and x 2) is as follows: This can be extended to more than two explanatory ...