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 = -2.9 * weight + 228
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOONEN Tom | 82 |
| 2 | VAN IMPE Kevin | 75 |
| 3 | AMORISON Frédéric | 70 |
| 7 | STEEGMANS Gert | 82 |
| 8 | COMMEYNE Davy | 70 |
| 12 | CHADWICK Glen Alan | 75 |
| 14 | WILSON Matthew | 72 |
| 17 | VAN HUFFEL Wim | 66 |
| 21 | DEVOLDER Stijn | 72 |
| 23 | WILLEMS Frederik | 67 |
| 45 | RENDERS Sven | 63 |
| 50 | VANTHOURENHOUT Sven | 65 |
| 69 | REID Robin | 62 |
| 72 | DOCKX Bart | 64 |