Chapter 2. Simple Workflow and Passive Debugging
Linear Regression
For most of this book, we’ll be working on applications that do linear regression, a simple but informative statistic. Suppose that you have a series of data pairs, such as the quarterly sales figures for a particular department, shown in Table 2.1.
Table 2.1. Quarterly Sales Figures for a Hypothetical Company (millions of dollars)
Quarter | Sales |
---|---|
1 | 107.5 |
2 | 110.3 |
3 | 114.5 |
4 | 116.0 |
5 | 119.3 |
6 | 122.4 |
A regression line is the straight line that passes nearest all the data points (see Figure 2.1). The formula for such a line is y = mx + b, or the sales (y) for a given quarter (x) rise at a quarterly rate (m) from a base at “quarter zero” (b). We have the x and y values; we’d like to determine m and b.
Figure 2.1. The ...
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