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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 63 |
| 2 | VLASOV Aleksandr | 68 |
| 3 | RODRÍGUEZ Carlos | 67 |
| 4 | MAS Enric | 61 |
| 5 | SÁNCHEZ Luis León | 73 |
| 6 | MOHORIČ Matej | 71 |
| 7 | TOLHOEK Antwan | 61 |
| 8 | VALVERDE Alejandro | 61 |
| 9 | FUGLSANG Jakob | 67 |
| 10 | DE LA CRUZ David | 66 |
| 11 | HONORÉ Mikkel Frølich | 68 |
| 12 | SIVAKOV Pavel | 70 |
| 13 | AYUSO Juan | 65 |
| 14 | HERMANS Ben | 72 |
| 15 | GIBBONS Ryan | 70 |
| 16 | CICCONE Giulio | 58 |