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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADRAZO Ángel | 61 |
| 2 | VUILLERMOZ Alexis | 60 |
| 3 | GARCIA Marcos | 55 |
| 4 | PINOT Thibaut | 63 |
| 5 | PÉRICHON Pierre-Luc | 69 |
| 6 | TXURRUKA Amets | 58 |
| 7 | DI GRÉGORIO Rémy | 67 |
| 8 | ELISSONDE Kenny | 52 |
| 9 | JEANDESBOZ Fabrice | 69 |
| 10 | DUPONT Hubert | 57 |
| 11 | LAENGEN Vegard Stake | 79 |
| 12 | LAVIEU Antoine | 60 |