| Popis: |
This chapter gives an introduction to the workhorse of quantitative statistical analysis, linear regression analysis, assuming minimal background knowledge of the reader. We give a broad overview of linear regression analysis using one predictor variable and then turn to regression with multiple predictor variables and key assumptions, which segues into regression analysis of areal units that include spatial dependence. Throughout we use the statistical programming environment R, and we try to summarize the most important challenges that an applied researcher will face. As this is just an introduction to the topic, we provide references to sources that are highly recommended for any researcher who aims to understand or apply (spatial) linear regression analysis. |
