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 + 65
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Adrie | 70 |
| 3 | BAFFI Adriano | 70 |
| 4 | CAROLI Daniele | 77 |
| 5 | BALLERINI Franco | 78 |
| 6 | MADIOT Marc | 68 |
| 7 | CHIAPPUCCI Claudio | 67 |
| 9 | WECHSELBERGER Helmut | 71 |
| 12 | HODGE Stephen | 74 |
| 18 | WINNEN Peter | 60 |
| 20 | RUÉ Gérard | 74 |
| 29 | VANDI Alfio | 64 |
| 46 | CENGHIALTA Bruno | 73 |
| 47 | GAVAZZI Pierino | 67 |
| 49 | ELLI Alberto | 71 |