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 = 8.5 * weight + 32
This means that on average for every extra kilogram weight a rider loses 8.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BERNAUDEAU Jean-René | 64 |
| 5 | ROCHE Stephen | 74 |
| 6 | VAN DER POEL Adrie | 70 |
| 7 | EARLEY Martin | 62 |
| 15 | MARIE Thierry | 68 |
| 990 | BAFFI Adriano | 70 |
| 990 | CHEVALLIER Philippe | 69 |
| 990 | VAN VLIET Leo | 65 |
| 990 | NEVENS Jan | 58 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | DEMOL Dirk | 72 |
| 990 | DE WOLF Fons | 75 |
| 990 | DE WILDE Etienne | 70 |