A standard linear regression is a statistical process used to understand and model relationships between two variables (dependent and independent). These processes are common in economics and other quantitative fields, but regressions remain uncommon in traditional English scholarship.
Faced with the expansive spreadsheet of data scraped from the Index of Modernist Magazines, we turned to regressions to evaluate the strength of relationships between these variables and magazine run times. Watch the video below for a deeper look at how our approach to regressions can be used for extracting insights about the Index of Modernist Magazines.
As our resident economist Kevin pointed out, regressions can potentially provide great insights for English scholars. And, by developing a basic understanding of Microsoft Excel, even the least tech-savvy English major can explore relationships between magazine variables such as life-span, editor traits, and location.