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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCEWEN Robbie | 67 |
| 2 | EISEL Bernhard | 74 |
| 3 | DEGANO Enrico | 68 |
| 4 | CHAVANEL Sébastien | 77 |
| 8 | PINEAU Jérôme | 65 |
| 9 | CARDOSO Manuel Antonio Leal | 70 |
| 11 | MARTIAS Rony | 71 |
| 12 | DUIJN Huub | 73 |
| 13 | GARRIDO Martin Gerardo | 70 |
| 14 | STEEGMANS Gert | 82 |
| 15 | CALDEIRA Samuel José | 76 |
| 17 | FINOT Frédéric | 65 |
| 19 | SEROV Alexander | 77 |
| 20 | MARQUE Alejandro Manuel | 68 |
| 21 | SABIDO Hugo | 70 |
| 23 | VEELERS Tom | 75 |