Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.5 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUCHER David | 78 |
| 2 | MINARD Sébastien | 65 |
| 3 | OFFREDO Yoann | 69 |
| 4 | DUVAL Julien | 68 |
| 6 | GIRAUD Benjamin | 71 |
| 7 | DÉMARE Arnaud | 76 |
| 8 | DANIEL Maxime | 74 |
| 11 | PETIT Adrien | 80 |
| 12 | HENDERSON Gregory | 75 |
| 13 | PAIANI Jean-Lou | 77 |