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 = -0.2 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARISELLA Raphael | 78 |
| 2 | JULIEN Matisse | 70 |
| 3 | CARREAU Lukas | 68 |
| 5 | RUSSELL Evan | 64 |
| 9 | PICKRELL Riley | 72 |
| 10 | KINNIBURGH Jackson | 76 |
| 11 | BIBIC Dylan | 80 |
| 14 | FRONER Axel | 63 |
| 17 | GUILLEMETTE Mathias | 73 |
| 18 | JUSSAUME Tristan | 70 |
| 19 | INKSTER Eric | 73 |
| 24 | PLAMONDON Joel | 72 |
| 25 | MENEGON Nicholas | 59 |
| 28 | SIRMAN Jack | 77 |
| 52 | SUTHERLAND Calum | 62 |
| 62 | GREGORY Daniel | 77 |