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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MELLANO Ludovico Maria | 65 |
| 2 | SAVINO Federico | 70 |
| 6 | HANSEN Alexander Arnt | 68 |
| 7 | VAN DEN EIJNDEN Guus | 63 |
| 8 | HARTEEL Jelle | 66 |
| 9 | KRAMER Jesse | 74 |
| 10 | DELLE VEDOVE Alessio | 73 |
| 12 | BUENO Alfredo | 60 |
| 13 | OLIVO Bryan | 70 |
| 14 | STIANSEN Jesper | 67 |
| 15 | LÓPEZ Ian | 64 |
| 17 | ZANUTTA David | 57 |
| 20 | NEGRENTE Mattia | 65 |
| 25 | FONTAINE Titouan | 70 |
| 27 | REMIJN Senna | 68 |
| 28 | ALMUTAIWEI Mohammad | 74 |