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學生對 约翰霍普金斯大学 提供的 Quantifying Relationships with Regression Models 的評價和反饋
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課程概述
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.
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1 - Quantifying Relationships with Regression Models 的 5 個評論（共 5 個）
創建者 Cecil C L
•2021年7月13日
創建者 Matt t
•2021年7月9日
創建者 Jonas-Samad K
•2022年11月9日
創建者 Nelson R R G
•2021年11月18日
創建者 Ivan k
•2022年2月20日
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