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 = -1.3 * weight + 116
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 3 | VAN DER POEL Adrie | 70 |
| 7 | SERGEANT Marc | 76 |
| 8 | MOSER Francesco | 79 |
| 14 | HOSTE Frank | 76 |
| 16 | DE WILDE Etienne | 70 |
| 19 | VANDERAERDEN Eric | 74 |
| 25 | PAGNIN Roberto | 74 |
| 26 | WAMPERS Jean-Marie | 82 |
| 28 | PLANCKAERT Eddy | 69 |
| 29 | BAUER Steve | 72 |
| 30 | LEMOND Greg | 67 |
| 34 | DUCLOS-LASSALLE Gilbert | 73 |
| 39 | DEMOL Dirk | 72 |
| 48 | NIJDAM Jelle | 70 |