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 = -0.7 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SÉNÉCHAL Florian | 77 |
| 3 | BOONS Ruben | 85 |
| 5 | VLIEGEN Loïc | 70 |
| 8 | DECLERCQ Benjamin | 67 |
| 10 | BAKKER Dennis | 74.5 |
| 11 | VERMEULEN Emiel | 64 |
| 12 | BRUSSELMAN Twan | 76 |
| 13 | NÕMMELA Aksel | 69 |
| 15 | VALLÉE Boris | 79 |
| 16 | MYNGHEER Daan | 74 |
| 17 | DEGREVE Martijn | 72 |
| 18 | VERVAEKE Louis | 68 |
| 22 | MAES Alexander | 72 |
| 24 | FARAZIJN Maxime | 73.5 |
| 27 | JANSSEN Dick | 68 |
| 28 | JULIUS Jayde | 59 |