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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOLLIKER Joshua | 67 |
| 2 | SAVINO Federico | 70 |
| 3 | ZANUTTA David | 57 |
| 4 | LÓPEZ Ian | 64 |
| 5 | NEGRENTE Mattia | 65 |
| 6 | VAN DEN EIJNDEN Guus | 63 |
| 7 | MCKENZIE Hamish | 70 |
| 8 | SCHWARZBACHER Matthias | 72 |
| 9 | FOFONOV Artem | 70 |
| 11 | ATTOLINI Luca | 63 |
| 12 | PEŠEK Adam | 67 |
| 14 | GRÉGOIRE Baptiste | 65 |
| 15 | TOFTEMARK Lucas | 73 |
| 16 | MELLANO Ludovico Maria | 65 |
| 17 | OLIVO Bryan | 70 |
| 19 | REMIJN Senna | 68 |