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 + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HADFIELD Gavin | 73 |
| 2 | RENAUD-TREMBLAY Sasha | 60 |
| 8 | GAGNÉ Étienne | 64 |
| 9 | BOUCHARD Alexis | 61 |
| 13 | OLEJNICZAK David | 69 |
| 15 | RAYMOND Louis | 67 |
| 20 | GIAMMARELLA Adamo | 62 |
| 22 | MOORE Manu | 62 |
| 26 | SATO Marc | 63 |
| 34 | BOYLE Evan | 77 |
| 40 | VALENTI Luke | 69 |
| 41 | GILLINGHAM Jack | 63 |
| 44 | HÉNON-BOYER Quentin | 76 |
| 51 | BEAUMONT Cameron | 58 |
| 55 | MARTINS Henrique | 64 |