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 = -1.6 * weight + 133
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE WOLF Fons | 75 |
| 5 | PRIM Tommy | 76 |
| 7 | DE VLAEMINCK Roger | 74 |
| 9 | ROCHE Stephen | 74 |
| 10 | KELLY Sean | 77 |
| 16 | NILSSON Sven-Åke | 63 |
| 19 | DE ROOIJ Theo | 69 |
| 21 | POLLENTIER Michel | 62 |
| 23 | KUIPER Hennie | 69 |
| 24 | MADIOT Marc | 68 |
| 25 | VAN DER POEL Adrie | 70 |
| 36 | SEGERSALL Alf | 65 |
| 39 | ARGENTIN Moreno | 66 |