View source for M7-Quantitative Decision Methods-S6 - Regression

A linear regression line in a scatter dataset can be calculated as follows:

<math>y = ax + b</math>
<math>\huge b = \frac {n \sum xy - \sum x \sum y }{n \sum x^2 - (\sum x)^2}</math>

This is based on regression of the vertical distances of the points in the dataset. If you would draw the line based on the horizontal distances it would be:

<math>\huge b = \frac {n \sum xy - \sum x \sum y }{n \sum y^2 - (\sum y)^2}</math>
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