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 = 0.4 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LE TURNIER Mathias | 65 |
| 2 | BARCELÓ Fernando | 65 |
| 3 | ERIKSSON Lucas | 64 |
| 4 | FLÓREZ Miguel Eduardo | 57 |
| 5 | WIRTGEN Tom | 77 |
| 6 | BURGAUDEAU Mathieu | 61 |
| 7 | MOLLY Kenny | 61 |
| 8 | MUÑOZ Daniel | 57 |
| 9 | CONCI Nicola | 68 |
| 10 | SUREDA Jaume | 70 |
| 11 | LANGELLOTTI Victor | 64 |
| 12 | MORIN Emmanuel | 74 |
| 13 | TOUZÉ Damien | 69 |
| 14 | VAN NIEKERK Morné | 64 |
| 15 | PAASSCHENS Mathijs | 75 |
| 16 | DE ROSSI Lucas | 70 |
| 17 | SIX Franklin | 72 |