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Erschienen in:
2015 | OriginalPaper | Buchkapitel
9. Correlation and Linear Regression
verfasst von : Venkat Reddy Konasani, Shailendra Kadre
Erschienen in: Practical Business Analytics Using SAS
Verlag: Apress
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Abstract
In the previous chapter, we covered how to prepare data for model building. In this chapter, we discuss model building, which may be the most important step in a data analytics project. We will discuss the most popular technique of model building—linear regression. We will first discuss correlation in detail and then discuss the differences between correlation and regression. Finally, we will show a detailed example of modeling using linear regression. We will explain the concepts using real-world scenarios wherever possible.