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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOL Cees | 83 |
| 2 | GROSU Eduard-Michael | 68 |
| 3 | KRISTOFF Alexander | 78 |
| 4 | NAESEN Lawrence | 72 |
| 5 | HALVORSEN Kristoffer | 69 |
| 6 | HOFLAND Moreno | 71 |
| 8 | VAN ASBROECK Tom | 72 |
| 9 | MALUCELLI Matteo | 68 |
| 11 | WELLENS Tim | 71 |
| 12 | KIRSCH Alex | 78 |
| 13 | HODEG Álvaro José | 76 |
| 14 | REINDERS Elmar | 78.1 |
| 15 | RIABUSHENKO Alexandr | 61 |
| 16 | AFFINI Edoardo | 80 |
| 18 | GIDICH Yevgeniy | 69 |
| 19 | TRÆEN Torstein | 63 |