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 = 0.5 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOUGEARD Alexis | 70 |
| 2 | LATOUR Pierre | 66 |
| 3 | WARNIER Antoine | 71 |
| 4 | BENITO Miguel Ángel | 67 |
| 5 | TURGIS Anthony | 70 |
| 6 | SARREAU Marc | 76 |
| 7 | GROENEWEGEN Dylan | 70 |
| 8 | LOOIJ André | 75 |
| 9 | KERKHOF Tim | 76 |
| 11 | MULLEN Ryan | 77 |
| 12 | MOLANO Juan Sebastián | 72 |
| 13 | ŠIŠKEVIČIUS Paulius | 70 |
| 14 | MAES Alexander | 72 |
| 16 | SLIK Ivar | 71 |