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 = -0.9 * weight + 81
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HADFIELD Gavin | 73 |
| 5 | OLEJNICZAK David | 69 |
| 8 | BOYLE Evan | 77 |
| 9 | RENAUD-TREMBLAY Sasha | 60 |
| 12 | RAYMOND Louis | 67 |
| 13 | MOORE Manu | 62 |
| 15 | VALENTI Luke | 69 |
| 17 | GIAMMARELLA Adamo | 62 |
| 19 | SHEIN Sam | 63 |
| 23 | GILLINGHAM Jack | 63 |
| 33 | SATO Marc | 63 |
| 34 | GAGNÉ Étienne | 64 |
| 36 | HÉNON-BOYER Quentin | 76 |
| 37 | BEAUMONT Cameron | 58 |
| 41 | BOUCHARD Alexis | 61 |
| 59 | MARTINS Henrique | 64 |