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 = -1.2 * weight + 100
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PELUCCHI Matteo | 74 |
| 3 | KREDER Raymond | 70 |
| 5 | LOBATO Juan José | 64 |
| 13 | CARLSEN Kirk | 68 |
| 14 | MIRABALLES Wilder Sergio | 76 |
| 16 | CABELLO Antonio | 67 |
| 18 | ROSENDO Jesús | 66 |
| 27 | MÉDICI Matías | 70 |
| 30 | FELLINE Fabio | 68 |
| 31 | SEPÚLVEDA Eduardo | 59 |
| 32 | ESTRADA Juan Javier | 70 |
| 33 | RUÍZ Eloy | 66 |
| 34 | KUMP Marko | 68 |
| 36 | CANO Jose Luis | 64 |