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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COMMESSO Salvatore | 66 |
| 2 | BALIANI Fortunato | 66 |
| 3 | KIRYIENKA Vasil | 69 |
| 5 | BONO Matteo | 60 |
| 6 | HERNÁNDEZ Aitor | 64 |
| 7 | GASPAROTTO Enrico | 65 |
| 8 | GOUBERT Stéphane | 62 |
| 9 | ALBIZURI Beñat | 69 |
| 10 | FAILLI Francesco | 65 |
| 11 | YAKOVLEV Serguei | 70 |
| 13 | VISCONTI Giovanni | 63 |
| 15 | KNEES Christian | 81 |
| 16 | DI GRÉGORIO Rémy | 67 |
| 17 | PRIAMO Matteo | 72 |