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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENNAN Matthew | 68 |
| 2 | VERNON Ethan | 74 |
| 3 | GROVES Kaden | 76 |
| 4 | CASTELLON Jan | 55 |
| 5 | URIARTE Diego | 67 |
| 6 | VAN DER TUUK Danny | 64 |
| 7 | JOHNSTON Calum | 55 |
| 9 | MAS Enric | 61 |
| 10 | AYUSO Juan | 65 |
| 11 | LAURANCE Axel | 63 |
| 12 | NOVAK Domen | 70 |
| 13 | ROGLIČ Primož | 65 |
| 14 | TRATNIK Jan | 67 |