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 + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÖSTLBERGER Lukas | 70 |
| 2 | DE MAN Jaap | 68 |
| 3 | GATE Aaron | 71 |
| 6 | VIGANÒ Davide | 67 |
| 7 | PORTER Elliott | 73 |
| 8 | IRVINE Martyn | 80 |
| 9 | TIZZA Marco | 58 |
| 11 | BENETSEDER Josef | 65 |
| 13 | EDMONDSON Joshua | 62 |
| 15 | ROWSELL Erick | 66 |
| 16 | MULLEN Ryan | 77 |
| 19 | GESBERT Élie | 63 |
| 20 | SCHÖNBERGER Sebastian | 64 |
| 21 | HRINKOW Dominik | 61 |
| 22 | SLEURS Christophe | 68 |
| 24 | JOURNIAUX Axel | 63 |