M7-Quantitative Decision Methods-S6 - Regression

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

$y=ax+b$ Failed to parse (unknown function "\huge"): {\displaystyle \huge b = \frac {n \sum xy - \sum x \sum y }{n \sum x^2 - (\sum x)^2}}

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:

Failed to parse (unknown function "\huge"): {\displaystyle \huge b = \frac {n \sum xy - \sum x \sum y }{n \sum y^2 - (\sum y)^2}}