Chapter 11

In This Chapter

Understanding linear and exponential trends

Predicting future data from existing data

Working with normal and Poisson distributions

When you’re analyzing data, one of the most important steps is usually to determine what model fits the data. No, I'm not talking about a model car or model plane! This is a *mathematical model* or, put another way, a *formula* that describes the data. The question of a model is applicable to all data that comes in X-Y pairs, such as the following:

- Comparisons of weight and height measurements
- Data on salary versus educational level
- Number of fish feeding in a river by time of day
- Number of employees calling in sick as related to day of the week

Suppose now that you plot all the data points on a chart — a *scatter chart,* in Excel terminology. What does the pattern look like? If the data is linear, the data points fall more or less along a straight line. If they fall along a curve rather than a straight line, they aren’t linear and are likely to be exponential. These two models — *linear* and *exponential* — are the two most commonly used models, and Excel provides functions ...

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