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 = 1.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DE WYNKELE Lorenz | 75 |
| 2 | DEHAIRS Simon | 82 |
| 4 | GUDNITZ Joshua | 69 |
| 5 | DE SCHUYTENEER Steffen | 74 |
| 6 | LOVIDIUS Edvin | 70 |
| 8 | SÖDERQVIST Jakob | 83 |
| 9 | KUBIŠ Lukáš | 70 |
| 10 | STOSZ Patryk | 70 |
| 11 | TOUDAL Emil | 72 |
| 17 | TUREK Daniel | 72 |
| 18 | PAJUR Romet | 78 |
| 19 | AVONDTS Mathis | 62 |
| 20 | BOGUSŁAWSKI Marceli | 77 |
| 991 | KLEVGÅRD Kristian | 74 |