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 = 0.5 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEINTJES Louis | 58 |
| 2 | KUDUS Merhawi | 58 |
| 3 | BUCHMANN Emanuel | 59 |
| 4 | CARTHY Hugh | 69 |
| 5 | GABBURO Davide | 63 |
| 6 | CHIRICO Luca | 58 |
| 7 | HENAO Sebastián | 57 |
| 8 | PÖSTLBERGER Lukas | 70 |
| 9 | BERLATO Giacomo | 60 |
| 11 | RAMIREZ Brayan Steven | 69 |
| 12 | PETILLI Simone | 65 |
| 13 | RAVANELLI Simone | 66 |
| 14 | STERBINI Simone | 67 |
| 15 | MOSCON Gianni | 71 |
| 16 | FOLIFOROV Alexander | 61 |