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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ADRIÀ Roger | 64 |
| 2 | LABROSSE Jordan | 65 |
| 3 | EULÁLIO Afonso | 62 |
| 4 | BISIAUX Léo | 58 |
| 5 | CARUSO Damiano | 67 |
| 7 | ERIKSSON Lucas | 64 |
| 8 | BERNAL Egan | 60 |
| 9 | RYAN Archie | 56 |
| 10 | RIVERA Brandon Smith | 60 |
| 11 | KULSET Johannes | 58 |
| 12 | HOWSON Damien | 68 |
| 13 | LANDA Mikel | 61 |
| 15 | CEPEDA Jefferson Alveiro | 61 |