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.
Great refresher on regression models. Simple and concise.
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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!
Dr. Jennifer Bechner is an excellent teacher! I loved this course!
Great refresher on regression models. Simple and concise.
Very helpful and clear!
Great, i´ve learn some new things about the logit and probit model
this is defnitely not an Intermediate course, this is nice course for people who need regression but do not want to do Math.
Good morning, I have paid the full amount that was required for me in this course. On the 25 of June I have paid the amount R 883.35 on the 25 June 2025. My question is how many times do I have to pay these fees? I want to complete my course that I payed for.