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 = -1.7 * weight + 155
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | HODGE Stephen | 74 |
| 9 | JÄRMANN Rolf | 73 |
| 12 | DERNIES Michel | 75 |
| 15 | FIGNON Laurent | 67 |
| 21 | ARROYO Miguel | 59 |
| 22 | MADOUAS Laurent | 70 |
| 23 | SKIBBY Jesper | 70 |
| 30 | LELLI Massimiliano | 69 |
| 37 | RUÉ Gérard | 74 |
| 41 | NEVENS Jan | 58 |
| 52 | GIUPPONI Flavio | 60 |
| 60 | CHEVALLIER Philippe | 69 |
| 68 | SØRENSEN Rolf | 70 |
| 76 | TOLHOEK Patrick | 63 |
| 77 | VERSTREPEN Johan | 66 |