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Learning Haskell Data Analysis by James Church

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Chapter 6. Correlation and Regression Analysis

In the previous chapter, we examined the classical procedure to test claims using the normal distribution curve. We also discussed the fundamental concept of variance and presented the function that computes the standard deviation of a dataset.

This chapter will examine the relationships between the input and output data. This is a truism to most sports fans—there exists a relationship between scoring and winning. It should seem obvious that sports teams that score higher points tend to win more games. As you might expect, the teams that don't often score high points tend to not win that often. The craft of measuring the relationship between the input (the number of points scored) and output (whether ...

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