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 = -0.2 * weight + 80
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ADAMSKI Kash | 66 |
| 8 | SCHWARTZ Simon | 69 |
| 11 | VASSAL Théophile | 65 |
| 16 | GOOLD Max | 59 |
| 23 | EKMAN Vilmer | 64 |
| 33 | KLEIBRANT Wilmer | 61 |
| 41 | GROMAN Adrian | 68 |
| 46 | NOMDEN Joris | 73 |
| 74 | ZIJLSTRA Youri | 68 |
| 82 | VERVER Bram | 75 |
| 113 | PŘENOSIL Marek | 76 |
| 128 | ZACHAREZEWSKI Patrik | 63 |
| 129 | D'HONDT Arne | 63 |
| 134 | BEURET Achille | 58 |
| 153 | DE VRIES Thygo | 65 |