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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIBLON Christophe | 65 |
| 2 | USOV Alexandre | 63 |
| 3 | WESTRA Lieuwe | 74 |
| 4 | GUILLOU Florian | 71 |
| 5 | PINEAU Cédric | 68 |
| 6 | TURPIN Ludovic | 57 |
| 7 | MARTIAS Rony | 71 |
| 8 | MARCATO Marco | 67 |
| 9 | ENGOULVENT Jimmy | 82 |
| 10 | ROUX Anthony | 73 |
| 11 | COYOT Arnaud | 76 |
| 12 | KADRI Blel | 66 |
| 13 | JI Cheng | 67 |
| 14 | DEROO David | 61 |
| 15 | AMADOR Andrey | 73 |
| 17 | VANDEWALLE Kristof | 74 |