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 = -1.4 * weight + 106
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIECHELE Andrea | 71 |
| 2 | BERDOS Oleg | 68 |
| 3 | DE MARCHI Alessandro | 65 |
| 6 | MARANGONI Alan | 74 |
| 10 | SEREBRYAKOV Alexander | 70 |
| 12 | DMITRIYEV Valeriy | 69 |
| 14 | BENFATTO Marco | 71 |
| 16 | DENIFL Stefan | 65 |
| 17 | VREČER Robert | 68 |
| 19 | BISOLTI Alessandro | 58 |
| 21 | KUSZTOR Péter | 61 |
| 23 | BELLIS Jonathan | 69 |
| 26 | FRITSCH Nicolas | 65 |
| 30 | SANTORO Antonio | 53 |
| 36 | AAEN JØRGENSEN Jonas | 63 |
| 40 | MIYAZAWA Takashi | 61 |