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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMINIAUX Lionel | 74 |
| 2 | DEWULF Stan | 74 |
| 3 | HERREGODTS Rune | 70 |
| 4 | VAN HOECKE Gijs | 78 |
| 5 | MOLANO Juan Sebastián | 72 |
| 6 | VERNON Ethan | 74 |
| 7 | KANTER Max | 68 |
| 8 | QUICK Blake | 77 |
| 9 | RAJOVIĆ Dušan | 74 |
| 10 | FRETIN Milan | 70 |
| 11 | NARVÁEZ Jhonatan | 65 |
| 12 | STANNARD Robert | 74 |
| 13 | PICKRELL Riley | 72 |
| 14 | LAMPERTI Luke | 74 |