Loading...

SAS Lesson 2: Testing a Basic Linear Regression Mode

Course video 6 of 29

In this session, we discuss more about the importance of testing for confounding, and provide examples of situations in which a confounding variable can explain the association between an explanatory and response variable. In addition, now that you have statistically tested the association between an explanatory variable and your response variable, you will test and interpret this association using basic linear regression analysis for a quantitative response variable. You will also learn about how the linear regression model can be used to predict your observed response variable. Finally, we will also discuss the statistical assumptions underlying the linear regression model, and show you some best practices for coding your explanatory variables Note that if your research question does not include one quantitative response variable, you can use one from your data set just to get some practice with the tool.

À propos de Coursera

Cours, Spécialisations et Diplômes en ligne enseignés par des enseignants du plus haut niveau provenant des meilleurs universités et établissements d'enseignement du monde.

Community
Join a community of 40 million learners from around the world
Certificate
Earn a skill-based course certificate to apply your knowledge
Career
Gain confidence in your skills and further your career