Chapter 10. Statistical Programming and Linear Regression
In this chapter, we'll look at the following recipes:
- Using the built-in statistics library
- Average of values in a Counter
- Computing the coefficient of a correlation
- Computing regression parameters
- Computing an autocorrelation
- Confirming that the data is random – the null hypothesis
- Locating outliers
- Analyzing many variables in one pass