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 = 0.2 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARINI Nicolas | 72 |
| 5 | RUMAC Josip | 71 |
| 6 | HAMMERSCHMID Marvin | 62 |
| 12 | STACCHIOTTI Riccardo | 70 |
| 13 | HAMMERSCHMID Raphael | 60 |
| 17 | DI SANTE Antonio | 62 |
| 26 | VAN NUFFELEN Glen | 64 |
| 27 | VELIA Olsian | 74 |
| 30 | ZURLO Federico | 70 |
| 35 | DIMA Emil | 73 |
| 39 | HEANEY Marc | 67 |
| 44 | RUSCETTA Andrea | 58 |
| 48 | VAUBOURZEIX Thomas | 70 |
| 50 | CEROVIĆ Goran | 71 |