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 + 141
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN AVERMAET Greg | 74 |
| 2 | DE WAELE Bert | 71 |
| 3 | VANDENBERGH Stijn | 86 |
| 4 | NEIRYNCK Kevin | 71 |
| 5 | STEURS Geert | 77 |
| 6 | MAES Nikolas | 78 |
| 7 | VERVECKEN Erwin | 78 |
| 16 | DE NEEF Steven | 75 |
| 17 | VANSPEYBROUCK Pieter | 76 |
| 25 | VANTHOURENHOUT Dieter | 64 |
| 31 | MURPHY John | 81 |
| 33 | STREEL Marc | 69 |
| 47 | GODDAERT Kristof | 72 |
| 50 | VAN GENECHTEN Jonas | 67 |
| 51 | REIJNEN Kiel | 63 |