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Opiniones y comentarios de aprendices correspondientes a Quantifying Relationships with Regression Models por parte de Universidad Johns Hopkins
11 calificaciones
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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 - 3 de 3 revisiones para Quantifying Relationships with Regression Models
por Cecil C L
•13 de jul. de 2021
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!
por Matt t
•9 de jul. de 2021
Great refresher on regression models. Simple and concise.
por Nelson R R G
•18 de nov. de 2021
Great, i´ve learn some new things about the logit and probit model
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