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 + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HADFIELD Gavin | 73 |
| 7 | BOUCHARD Alexis | 61 |
| 8 | RENAUD-TREMBLAY Sasha | 60 |
| 11 | SATO Marc | 63 |
| 15 | MOORE Manu | 62 |
| 17 | GIAMMARELLA Adamo | 62 |
| 19 | MARTINS Henrique | 64 |
| 21 | COUTURE Samuel | 67 |
| 23 | GAGNÉ Étienne | 64 |
| 24 | RAYMOND Louis | 67 |
| 29 | SHEIN Sam | 63 |
| 33 | VALENTI Luke | 69 |
| 35 | OLEJNICZAK David | 69 |
| 36 | HARRIS Patrick | 70 |
| 42 | GINGRAS Simon | 58 |