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 = -1.9 * weight + 196
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALLÉE Boris | 79 |
| 2 | MCLAY Daniel | 72 |
| 6 | VAN LERBERGHE Bert | 83 |
| 30 | WILLEMS Kenny | 72 |
| 43 | SWEECK Laurens | 71 |
| 59 | DE BUYST Jasper | 72 |
| 70 | VANDENBOGAERDE Jens | 77 |
| 71 | DUNNE Conor | 88 |
| 74 | SWEECK Diether | 71 |
| 75 | PEELAERS Jeff | 75 |
| 98 | VAN AKEN Matthias | 56 |
| 102 | RAEYMAEKERS Mattias | 68 |