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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCEWEN Robbie | 67 |
| 2 | EISEL Bernhard | 74 |
| 3 | DEGANO Enrico | 68 |
| 5 | CARDOSO Manuel Antonio Leal | 70 |
| 8 | MARTIAS Rony | 71 |
| 9 | DUIJN Huub | 73 |
| 10 | CHAVANEL Sébastien | 77 |
| 13 | STEEGMANS Gert | 82 |
| 14 | PINEAU Jérôme | 65 |
| 15 | SOUSA Rui | 59 |
| 16 | MARQUE Alejandro Manuel | 68 |
| 17 | SABIDO Hugo | 70 |
| 20 | PETROV Danail Andonov | 63 |
| 22 | PATANCHON Fabien | 69 |