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 = 0.6 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Ian | 64 |
| 4 | HAUG Kieran | 67 |
| 5 | FELTON Quinn | 63 |
| 10 | RENAUD-TREMBLAY Sasha | 60 |
| 11 | OLIPHANT Aidan | 61 |
| 16 | COUTURE Samuel | 67 |
| 18 | PELOQUIN Leonard | 67 |
| 19 | SHIPLEY Gabriel | 70 |
| 22 | GAGNÉ Étienne | 64 |
| 23 | GINGRAS Simon | 58 |
| 25 | RAYMOND Louis | 67 |
| 30 | WATSON-PALMER Oliver | 68 |