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 = 0.9 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHIMIZU Miyataka | 60 |
| 2 | ARASHIRO Yukiya | 64 |
| 4 | MOLLEMA Bauke | 64 |
| 6 | MIYAZAWA Takashi | 61 |
| 9 | TORRENT Carlos | 71 |
| 18 | VEELERS Tom | 75 |
| 19 | MOL Wouter | 83 |
| 28 | HONIG Reinier | 61 |
| 39 | GUTIÉRREZ David | 60 |
| 43 | ESTRADA Juan Javier | 70 |
| 47 | CHACÓN Javier | 70 |
| 50 | RYBAKOV Alexander | 65 |
| 53 | MATÉ Luis Ángel | 68 |
| 63 | COSME Antonio | 61 |
| 74 | VAN POPPEL Boy | 78 |
| 81 | VERMELTFOORT Coen | 85 |
| 87 | FUKUSHIMA Shinichi | 62 |