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 + 1
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | WEYLANDT Wouter | 72 |
| 7 | DE BACKER Bert | 73 |
| 11 | SINTSOV Anton | 62 |
| 14 | MIRONOV Alexander | 68 |
| 18 | DUIJN Huub | 73 |
| 19 | IGLINSKIY Valentin | 68 |
| 26 | INGELS Nick | 70 |
| 44 | GAJEK Artur | 74 |
| 66 | GOTTFRIED Alexander | 60 |
| 87 | VANTHOURENHOUT Dieter | 64 |
| 99 | LEEZER Tom | 76 |
| 101 | TERPSTRA Niki | 75 |
| 103 | DMITRIYEV Valeriy | 69 |