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 - 40
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FIGNON Laurent | 67 |
| 4 | DE WILDE Etienne | 70 |
| 5 | VAN VLIET Leo | 65 |
| 6 | KUIPER Hennie | 69 |
| 7 | DE ROOIJ Theo | 69 |
| 8 | VANDERAERDEN Eric | 74 |
| 10 | DEMOL Dirk | 72 |
| 11 | DUCLOS-LASSALLE Gilbert | 73 |
| 14 | ZOETEMELK Joop | 68 |
| 15 | ROCHE Stephen | 74 |
| 25 | VAN DER POEL Adrie | 70 |