Difference between revisions of "M7-Quantitative Decision Methods-S6 - Regression"
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(Created page with "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...") |
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<math>y = ax + b</math> | <math>y = ax + b</math> | ||
| − | <math> | + | <math>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: | 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> | + | <math>b = \frac {n \sum xy - \sum x \sum y }{n \sum y^2 - (\sum y)^2}</math> |
[[Category:mbi]] | [[Category:mbi]] | ||
Latest revision as of 20:00, 27 August 2020
A linear regression line in a scatter dataset can be calculated as follows:
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:
