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 = -0.7 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABDUZHAPAROV Djamolidine | 72 |
| 2 | LOMBARDI Giovanni | 73 |
| 3 | MONCASSIN Frédéric | 73 |
| 4 | FRASER Gordon | 71 |
| 5 | GAUMONT Philippe | 77 |
| 6 | JALABERT Nicolas | 68 |
| 7 | BARTHE Stéphane | 65 |
| 8 | BAFFI Adriano | 70 |
| 9 | KOERTS Jans | 78 |
| 10 | NAZON Damien | 68 |
| 11 | CHANTEUR Pascal | 62 |
| 14 | MOREAU Christophe | 71 |
| 17 | DEKKER Erik | 66 |
| 18 | SIMON François | 70 |
| 19 | BLAUDZUN Michael | 66 |
| 20 | AEBERSOLD Niki | 58 |