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 = 0.9 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VASSAL Théophile | 65 |
| 18 | SCHWARTZ Simon | 69 |
| 19 | ADAMSKI Kash | 66 |
| 20 | GROMAN Adrian | 68 |
| 23 | GOOLD Max | 59 |
| 38 | NOMDEN Joris | 73 |
| 76 | D'HONDT Arne | 63 |
| 77 | KLEIBRANT Wilmer | 61 |
| 78 | EKMAN Vilmer | 64 |
| 100 | ZACHAREZEWSKI Patrik | 63 |
| 104 | ZIJLSTRA Youri | 68 |
| 111 | VERVER Bram | 75 |