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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANDA Mikel | 61 |
| 2 | LIEPIŅŠ Emīls | 67 |
| 3 | HAMILTON Lucas | 71 |
| 4 | STACCHIOTTI Riccardo | 70 |
| 5 | KAMP Alexander | 74 |
| 6 | BELLETTI Manuel | 72 |
| 7 | SHALUNOV Evgeny | 70 |
| 8 | MALUCELLI Matteo | 68 |
| 9 | FINETTO Mauro | 62 |
| 10 | STANNARD Robert | 74 |
| 11 | CATTANEO Mattia | 67 |
| 12 | PACIONI Luca | 67 |
| 13 | GESBERT Élie | 63 |
| 14 | GARRISON Ian | 76 |
| 15 | GABBURO Davide | 63 |
| 16 | LASTRA Jonathan | 64 |