This course will introduce you to the linear regression model, which is a powerful tool that researchers can use to measure the relationship between multiple variables. We’ll begin by exploring the components of a bivariate regression model, which estimates the relationship between an independent and dependent variable. Building on this foundation, we’ll then discuss how to create and interpret a multivariate model, binary dependent variable model and interactive model.
We’ll also consider how different types of variables, such as categorical and dummy variables, can be appropriately incorporated into a model. Overall, we’ll discuss some of the many different ways a regression model can be used for both descriptive and causal inference, as well as the limitations of this analytical tool. By the end of the course, you should be able to interpret and critically evaluate a multivariate regression analysis.阅读更多.
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Quantifying Relationships with Regression Models 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。
Quantifying Relationships with Regression Models is a part of 一 structured learning path.
5 Courses
5 Months
Data Literacy - Johns Hopkins University
