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 = 0.3 * weight + 51
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VASSAL Théophile | 65 |
| 31 | SCHWARTZ Simon | 69 |
| 35 | GROMAN Adrian | 68 |
| 45 | GOOLD Max | 59 |
| 53 | NOMDEN Joris | 73 |
| 56 | ADAMSKI Kash | 66 |
| 69 | D'HONDT Arne | 63 |
| 94 | KLEIBRANT Wilmer | 61 |
| 104 | ZACHAREZEWSKI Patrik | 63 |
| 108 | VERVER Bram | 75 |
| 109 | EKMAN Vilmer | 64 |
| 110 | ZIJLSTRA Youri | 68 |