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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINOKOUROV Alexandre | 68 |
| 2 | BLAUDZUN Michael | 66 |
| 3 | DUFAUX Laurent | 60 |
| 5 | BARTHE Stéphane | 65 |
| 6 | MONCASSIN Frédéric | 73 |
| 7 | PIIL Jakob Storm | 65 |
| 8 | LOMBARDI Giovanni | 73 |
| 9 | COMMESSO Salvatore | 66 |
| 10 | SIMON François | 70 |
| 11 | JALABERT Nicolas | 68 |
| 12 | MARTINEZ José Alberto | 67 |
| 16 | BOUVARD Gilles | 70 |
| 17 | CHANTEUR Pascal | 62 |
| 18 | DEMARBAIX Sébastien | 64 |
| 19 | BELLI Wladimir | 64 |
| 20 | ETXEBARRIA Unai | 68 |