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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOONEN Tom | 82 |
| 3 | TRAKSEL Bobbie | 72 |
| 4 | CAETHOVEN Steven | 67 |
| 5 | SINKEWITZ Patrik | 63 |
| 6 | GESLIN Anthony | 68 |
| 7 | DE WEERT Kevin | 70 |
| 8 | GILBERT Philippe | 75 |
| 9 | GARDEYN Gorik | 75 |
| 10 | NUYENS Nick | 68 |
| 11 | STEEGMANS Gert | 82 |
| 12 | VANSUMMEREN Johan | 79 |
| 13 | VAN IMPE Kevin | 75 |
| 14 | DUMOULIN Samuel | 57 |
| 15 | SENTJENS Roy | 75 |
| 18 | DOCKX Bart | 64 |
| 20 | SCHUMACHER Stefan | 71 |