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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAURI Melchor | 68 |
| 2 | BARBOSA Cândido | 72 |
| 3 | PLAZA David | 68 |
| 5 | RODRIGUEZ Fred | 68 |
| 6 | GAMITO Vitor | 66 |
| 7 | GARCÍA ACOSTA José Vicente | 76 |
| 10 | AZEVEDO José Bento | 59 |
| 11 | SARKAUSKAS Saulius | 74 |
| 12 | RODRIGUES Orlando Sergio | 68 |
| 13 | KONEČNÝ Tomáš | 67 |
| 14 | CASTANHEIRA Bruno Miguel | 70 |
| 15 | NOCENTINI Rinaldo | 60 |
| 17 | SOUSA Rui | 59 |
| 18 | HRUŠKA Jan | 62 |
| 19 | MOSQUERA Ezequiel | 65 |