IN THIS CHAPTER
Understanding linear and exponential models
Using SLOPE and INTERCEPT to describe linear data
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:
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 ...