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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

16 個評分


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....



1 - Quantifying Relationships with Regression Models 的 5 個評論(共 5 個)

創建者 Cecil C L


It demands in the questionnaires and in the writing in English, more than can be learned by direct action of the course. This was a disadvantage for me, but also an advantage because it encouraged me to look to other sources, to perform properly. Recommended for those who pose a challenge, not being a professional in the field or having previously studied it. Thanks!

創建者 Matt t


Great refresher on regression models. Simple and concise.

創建者 Jonas-Samad K


Very helpful and clear!

創建者 Nelson R R G


Great, i´ve learn some new things about the logit and probit model

創建者 Ivan k


this is defnitely not an Intermediate course, this is nice course for people who need regression but do not want to do Math.