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 + 128
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE BACKER Bert | 73 |
| 3 | DUIJN Huub | 73 |
| 5 | GAJEK Artur | 74 |
| 16 | INGELS Nick | 70 |
| 18 | IGLINSKIY Valentin | 68 |
| 23 | MIRONOV Alexander | 68 |
| 34 | VANTHOURENHOUT Dieter | 64 |
| 37 | WEYLANDT Wouter | 72 |
| 55 | GOTTFRIED Alexander | 60 |
| 65 | LEEZER Tom | 76 |
| 71 | SINTSOV Anton | 62 |
| 74 | TERPSTRA Niki | 75 |
| 89 | DMITRIYEV Valeriy | 69 |