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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OLANO Abraham | 70 |
| 2 | BÖLTS Udo | 73 |
| 3 | ROBIN Jean-Cyril | 63 |
| 4 | BOOGERD Michael | 62 |
| 5 | BELTRÁN Manuel | 60 |
| 7 | BLANCO Santiago | 66 |
| 8 | ZARRABEITIA Mikel | 63 |
| 9 | RINERO Christophe | 65 |
| 10 | SIMON François | 70 |
| 12 | PERON Andrea | 70 |
| 13 | MOREAU Christophe | 71 |
| 14 | ARROYO Miguel | 59 |
| 15 | TETERIOUK Andrei | 72 |
| 16 | EKIMOV Viatcheslav | 69 |
| 18 | BARANOWSKI Dariusz | 68 |
| 19 | CHANTEUR Pascal | 62 |
| 20 | MADOUAS Laurent | 70 |