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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINOKOUROV Alexandre | 68 |
| 2 | SALMON Benoît | 60 |
| 3 | GABRIEL Frédéric | 60 |
| 4 | HEULOT Stéphane | 69 |
| 5 | PIIL Jakob Storm | 65 |
| 6 | VASSEUR Cédric | 70 |
| 7 | TOTSCHNIG Georg | 62 |
| 8 | DUFAUX Laurent | 60 |
| 9 | BÖLTS Udo | 73 |
| 10 | SIMON François | 70 |
| 11 | VAN DE WOUWER Kurt | 66 |
| 12 | MEIER Armin | 69 |
| 13 | MONCOUTIÉ David | 69 |
| 15 | BOUVARD Gilles | 70 |
| 16 | DEMARBAIX Sébastien | 64 |
| 19 | BLAUDZUN Michael | 66 |
| 20 | JAN Xavier | 62 |