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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DE JONGH Steven | 76 |
| 5 | AEBERSOLD Niki | 58 |
| 7 | VAN DIJK Stefan | 74 |
| 8 | NAZON Damien | 68 |
| 9 | MÜLLER Martin | 79 |
| 10 | VOGELS Henk | 75 |
| 11 | JALABERT Nicolas | 68 |
| 12 | PRONK Matthé | 73 |
| 14 | WROLICH Peter | 68 |
| 15 | DA CRUZ Carlos | 74 |
| 17 | BERGÈS Stéphane | 68 |
| 19 | KONEČNÝ Tomáš | 67 |
| 20 | AERTS Mario | 68 |