One useful tool to help us make sense of these kinds of problems is regression. Regression is a statistical method that allows us to look at the relationship between two variables, while holding other ...

14 Introduction to regression models. ... If this hypothesis is true, then our linear model is not "useful," in the sense that our explanatory variable does not help us explain the value of our ...

This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

D C Montgomery, E A Peck & G G Vining, Introduction to Linear Regression Analysis; D C Montgomery, Design and Analysis of Experiments; A J Dobson, An Introduction to Generalised Linear Models; P ...

D C Montgomery, E A Peck & G G Vining, Introduction to Linear Regression Analysis; D C Montgomery, Design and Analysis of Experiments; A J Dobson, An Introduction to Generalised Linear Models; P ...