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 = -0.3 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEL TORO Isaac | 64 |
| 2 | MAJKA Rafał | 62 |
| 3 | FAGÚNDEZ Eric Antonio | 67 |
| 4 | EULÁLIO Afonso | 62 |
| 5 | DÍAZ José Manuel | 64 |
| 6 | BARCELÓ Fernando | 65 |
| 7 | GUTIÉRREZ Jorge | 58 |
| 8 | MOLENAAR Alex | 63 |
| 9 | MATÉ Luis Ángel | 68 |
| 10 | ARRIETA Igor | 64 |
| 11 | SÁNCHEZ Pelayo | 62 |
| 12 | CHUMIL Sergio Geovani | 62 |
| 13 | LÓPEZ Jordi | 59 |
| 14 | SAMITIER Sergio | 63 |
| 15 | CAMARGO Diego Andrés | 65 |