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 * weight + 26
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALKER Zachary | 52 |
| 2 | JOCHUM Ben Felix | 76 |
| 14 | AUGÉ Ronan | 61 |
| 17 | MEUNIER SOW Neriah | 61 |
| 21 | PÉREZ César | 66 |
| 23 | LIGHTFOOT Mark | 57 |
| 26 | ERRASTI Unax | 73 |
| 33 | FONTAINE Titouan | 70 |
| 38 | RENAUD-TREMBLAY Sasha | 60 |
| 40 | BRÉANT Romain | 62 |
| 45 | TARLING Joshua | 78 |
| 53 | GIULIANO Dario | 63 |
| 66 | TAVARES Gonçalo | 58 |