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:
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHLECK Andy | 68 |
| 4 | BOLE Grega | 69 |
| 5 | VELITS Peter | 63 |
| 8 | BELKOV Maxim | 71 |
| 12 | VELITS Martin | 70 |
| 16 | REUS Kai | 70 |
| 18 | PEYROTON-DARTET Thomas | 65 |
| 19 | VACHON Florian | 65 |
| 22 | COZZA Steven | 70 |
| 27 | BIESEK Szymon | 66 |
| 29 | GOTTFRIED Alexander | 60 |
| 30 | ZEITS Andrey | 73 |
| 31 | DRUCKER Jempy | 75 |
| 32 | BRAMMEIER Matt | 72 |
| 33 | WYSS Danilo | 65 |