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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MALACARNE Gael | 73 |
| 3 | FEILLU Brice | 69 |
| 4 | FEILLU Romain | 62 |
| 5 | DURET Sébastien | 62 |
| 6 | CASPER Jimmy | 69 |
| 7 | ROBERTS Luke | 71 |
| 8 | SARAMOTINS Aleksejs | 75 |
| 10 | ARASHIRO Yukiya | 64 |
| 11 | WALSLEBEN Philipp | 66 |
| 12 | BICHOT Freddy | 67 |
| 14 | ROSSETTO Stéphane | 68 |
| 15 | HELMINEN Matti | 74 |
| 16 | DELPECH Jean-Luc | 72 |
| 18 | VOGONDY Nicolas | 62 |
| 19 | FOUCHARD Julien | 74 |
| 20 | SILVA Luis Filipe | 71 |
| 22 | BOL Jetse | 71 |