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 = -0.9 * weight + 91
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Adrie | 70 |
| 3 | BOMANS Carlo | 74 |
| 6 | TOLHOEK Patrick | 63 |
| 9 | HOSTE Frank | 76 |
| 10 | SKIBBY Jesper | 70 |
| 13 | VERSTREPEN Johan | 66 |
| 14 | GLAUS Gilbert | 67 |
| 15 | CORDES Tom | 70 |
| 25 | DEMIERRE Serge | 70 |
| 29 | GIANETTI Mauro | 62 |
| 36 | NEVENS Jan | 58 |
| 39 | JÄRMANN Rolf | 73 |
| 44 | HODGE Stephen | 74 |
| 46 | SØRENSEN Rolf | 70 |
| 79 | FIGNON Laurent | 67 |
| 102 | RICHARD Pascal | 67 |