Chapter 8: Modeling Continuous Variables

Linear Regressions

Extensions of Ordinary Linear Regression

Generalized Linear Models

Regression Trees

Conclusion

In this chapter, we explore several commonly used predictive models for a continuous dependent variable, including linear regressions, generalized linear models, and regression trees. The data set that is used in this chapter is the Cars data set available in the sas-viya-programming repository of the sassoftware account on GitHub.  Upload the data set directly from GitHub using the upload method on the CAS connection, as follows:

In [1]: cars = conn.upload('https://raw.githubusercontent.com/sassoftware/'

                            'sas-viya-programming/master/data/cars.csv').casTable

 

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