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 + 5
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | GROMAN Adrian | 68 |
| 18 | SCHWARTZ Simon | 69 |
| 35 | EKMAN Vilmer | 64 |
| 39 | KLEIBRANT Wilmer | 61 |
| 60 | ADAMSKI Kash | 66 |
| 62 | BEURET Achille | 58 |
| 66 | PŘENOSIL Marek | 76 |
| 71 | VASSAL Théophile | 65 |
| 79 | GOOLD Max | 59 |
| 83 | NOMDEN Joris | 73 |
| 127 | D'HONDT Arne | 63 |
| 128 | ZACHAREZEWSKI Patrik | 63 |
| 137 | ZIJLSTRA Youri | 68 |
| 159 | DE VRIES Thygo | 65 |
| 160 | VERVER Bram | 75 |