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 - 29
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DI SANTE Antonio | 62 |
| 8 | STACCHIOTTI Riccardo | 70 |
| 10 | ZURLO Federico | 70 |
| 11 | RUMAC Josip | 71 |
| 12 | VAN NUFFELEN Glen | 64 |
| 27 | HAMMERSCHMID Marvin | 62 |
| 30 | VAUBOURZEIX Thomas | 70 |
| 32 | RUSCETTA Andrea | 58 |
| 38 | HAMMERSCHMID Raphael | 60 |
| 39 | CEROVIĆ Goran | 71 |
| 40 | VELIA Olsian | 74 |
| 42 | HEANEY Marc | 67 |
| 53 | DIMA Emil | 73 |
| 55 | MARINI Nicolas | 72 |