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 = 0.4 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VALLÉE Boris | 79 |
| 4 | NÕMMELA Aksel | 69 |
| 7 | JULIUS Jayde | 59 |
| 8 | FARAZIJN Maxime | 73.5 |
| 12 | VLIEGEN Loïc | 70 |
| 14 | DECLERCQ Benjamin | 67 |
| 15 | MAES Alexander | 72 |
| 16 | SÉNÉCHAL Florian | 77 |
| 18 | VERMEULEN Emiel | 64 |
| 25 | BAKKER Dennis | 74.5 |
| 27 | JANSSEN Dick | 68 |
| 29 | BRUSSELMAN Twan | 76 |
| 31 | BOONS Ruben | 85 |
| 32 | DEGREVE Martijn | 72 |
| 33 | MYNGHEER Daan | 74 |
| 38 | VERVAEKE Louis | 68 |