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 + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DILLIER Silvan | 75 |
| 2 | LOUBET Julien | 66 |
| 3 | FINETTO Mauro | 62 |
| 4 | PEREZ Anthony | 70 |
| 5 | MATÉ Luis Ángel | 68 |
| 6 | CARAPAZ Richard | 62 |
| 7 | FEILLU Brice | 69 |
| 8 | ELISSONDE Kenny | 52 |
| 9 | ARROYO David | 63 |
| 10 | GESBERT Élie | 63 |
| 11 | GUILLEMOIS Romain | 66 |