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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE GENDT Thomas | 73 |
| 2 | VALVERDE Alejandro | 61 |
| 3 | MATTHEWS Michael | 72 |
| 4 | SCHACHMANN Maximilian | 71 |
| 5 | IMPEY Daryl | 72 |
| 6 | BOLE Grega | 69 |
| 7 | ČERNÝ Josef | 75 |
| 8 | QUINTANA Nairo | 58 |
| 9 | DUIJN Huub | 73 |
| 10 | MINNAARD Marco | 65 |
| 11 | BERNAL Egan | 60 |
| 12 | KRUIJSWIJK Steven | 63 |
| 13 | MATÉ Luis Ángel | 68 |
| 14 | GREGAARD Jonas | 66 |