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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Adam | 58 |
| 2 | DENNIS Rohan | 72 |
| 3 | KRON Andreas | 63 |
| 4 | BERHANE Natnael | 66 |
| 5 | CHAVES Esteban | 55 |
| 6 | SÁNCHEZ Luis León | 73 |
| 7 | CAVAGNA Rémi | 78 |
| 8 | KAMP Alexander | 74 |
| 9 | ALMEIDA João | 63 |
| 10 | VALVERDE Alejandro | 61 |
| 11 | ROCHAS Rémy | 51 |
| 12 | MONIQUET Sylvain | 61 |
| 13 | GALVÁN Francisco | 69 |
| 14 | TAARAMÄE Rein | 73 |
| 15 | JANSE VAN RENSBURG Reinardt | 74 |
| 16 | CHAMPION Thomas | 66 |
| 17 | EVANS Alexander | 63 |