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 = -1.2 * weight + 85
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSKING Chloe | 60 |
| 2 | VOS Marianne | 58 |
| 3 | PIETERS Amy | 58 |
| 4 | JOHANSSON Emma | 58 |
| 5 | LONGO BORGHINI Elisa | 59 |
| 6 | ENSING Janneke | 62 |
| 9 | TENNIGLO Moniek | 64 |
| 14 | KNAUER Anna | 60 |
| 15 | KOSTER Anouska | 56 |
| 17 | ROY Sarah | 66 |
| 18 | DRUYTS Kelly | 62 |
| 20 | KESSLER Nina | 60 |
| 21 | PENTON Sara | 55 |
| 24 | STIJNS Kyara | 61 |
| 31 | CORDON-RAGOT Audrey | 60 |
| 33 | NEYLAN Rachel | 52 |
| 36 | MANLY Alexandra | 53 |