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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | THEUNS Edward | 72 |
| 3 | BENFATTO Marco | 71 |
| 4 | VAN LERBERGHE Bert | 83 |
| 6 | VALLÉE Boris | 79 |
| 7 | BENOOT Tiesj | 72 |
| 8 | VAN BAARLE Dylan | 78 |
| 9 | ZEPUNTKE Ruben | 76 |
| 11 | KRAGH ANDERSEN Søren | 73 |
| 12 | PUTT Tanner | 75 |
| 13 | FARAZIJN Maxime | 73.5 |