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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEIGNEUR Eddy | 71 |
| 2 | HEULOT Stéphane | 69 |
| 3 | ROUS Didier | 70 |
| 4 | VOGELS Henk | 75 |
| 5 | MOREAU Christophe | 71 |
| 6 | RICH Michael | 82 |
| 7 | DUFAUX Laurent | 60 |
| 8 | CASERO Ángel Luis | 72 |
| 9 | DEN BAKKER Maarten | 71 |
| 10 | ROBIN Jean-Cyril | 63 |
| 12 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 13 | LLANERAS Juan | 65 |
| 14 | WESEMANN Steffen | 72 |
| 16 | VAN BON Léon | 72 |
| 20 | GAUMONT Philippe | 77 |