CHAPTER 9Linear Regression Modeling
When used appropriately, linear regression is a fantastic modeling technique. As with all regression analyses, the idea is to establish and enumerate the relationship of one or more independent values to a single dependent value. For example, we may want to investigate if there is a strong relationship between CPU utilization (the dependent value) and the number of orders entered per hour (the independent value). If the relationship is indeed linear and strong, we can forecast.
Linear regression is one of my personal favorites. It's a fantastic way to forecast because it pushes you to automate data collection and provides industry-accepted statistical validation. It can produce very precise forecasts and is ...
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