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 = -1.6 * weight + 132
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ROCHE Stephen | 74 |
| 5 | KUIPER Hennie | 69 |
| 15 | RICHARD Pascal | 67 |
| 16 | DE WILDE Etienne | 70 |
| 19 | BUGNO Gianni | 68 |
| 22 | VAN DER POEL Adrie | 70 |
| 26 | GAVAZZI Pierino | 67 |
| 30 | NEVENS Jan | 58 |
| 32 | SKIBBY Jesper | 70 |
| 33 | BAFFI Adriano | 70 |
| 46 | VAN IMPE Lucien | 59 |
| 48 | ZOETEMELK Joop | 68 |