When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

Gene-set analysis of GWAS data can best be understood as an analysis using genes as data points, carrying out a test of the relationship between a gene set and the genetic associations of genes with a ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Aside from regression analysis (the intricacies and subsets of which you can read more about in this Harvard Business Review primer), predictive analytics is also using progressively more data mining ...

This course is compulsory on the MSc in Data Science. This course is available on the MSc in Health Data Science and MSc in Operations Research & Analytics. This course is available with permission as ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...