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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GOLLIKER Joshua | 67 |
| 3 | SAVINO Federico | 70 |
| 4 | ZANUTTA David | 57 |
| 5 | VAN DEN EIJNDEN Guus | 63 |
| 6 | MCKENZIE Hamish | 70 |
| 7 | SCHWARZBACHER Matthias | 72 |
| 8 | NEGRENTE Mattia | 65 |
| 9 | FOFONOV Artem | 70 |
| 10 | SAMBINELLO Mattia | 66 |
| 12 | ATTOLINI Luca | 63 |
| 13 | PEŠEK Adam | 67 |
| 15 | LÓPEZ Ian | 64 |
| 16 | MELLANO Ludovico Maria | 65 |
| 18 | REMIJN Senna | 68 |
| 21 | SCHEITINGER Linus | 77 |