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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAGEN Carl Fredrik | 65 |
| 2 | MAGER Christian | 60 |
| 3 | GERTS Floris | 71 |
| 4 | KRIZEK Matthias | 74 |
| 5 | BREEN Vegard | 74 |
| 6 | VAN GINNEKEN Sjoerd | 72 |
| 7 | DI GRÉGORIO Rémy | 67 |
| 8 | EVANS Brad | 70 |
| 9 | CARUSO Damiano | 67 |
| 10 | WEENING Pieter | 68 |
| 12 | ROSSKOPF Joey | 74 |
| 14 | ASSELMAN Jesper | 69 |
| 16 | SCHÄR Michael | 78 |
| 18 | BRUN Frederic | 73 |
| 19 | ASGREEN Kasper | 75 |
| 20 | BAŠKA Erik | 74 |
| 22 | FORTUNATO Lorenzo | 57 |