Numerical data are everywhere. Charts and statistics appear not just in geography journals but also in the media, in public policy, and in business and commerce too. To engage with quantitative geography, we must engage with the quantitative methods used to collect, analyse, present and interpret these data. Quantitative Geography: The Basics is the perfect introduction for undergraduates beginning any quantitative methods course. Written in short, user-friendly chapters with full-colour diagrams, the book guides the reader through a wide range of topics from the basic to the more advanced, including: • Statistics • Maths • Graphics • Models • Mapping and GIS • R Closely aligned with the Q-Step quantitative social science programme, Quantitative Geography: The Basics is the ideal starting point for understanding and exploring this fundamental area of Geography.

# Multiple Regression and Geography

### Multiple Regression and Geography

Multiple Regression and Geography

### 10.1 Introduction

This chapter continues on from Chapter 9, extending the regression framework to include multiple predictor variables explaining the response variable. It discusses various model specifications, including for when the response variable is measured on a logarithmic scale or when it measures a binary (yes/no) outcome. It looks at the use of mean-centring and standardising the X variables to aid interpretation of the model.

Throughout the chapter, a focus is on taking a geographical approach to regression. Regression can be understood as trying to explain the patterns and differences we find in a map of geographical data. Although there is not necessarily a problem in using regression with geographical data, a complicating factor may arise when the geographical ...

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