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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEREZ Anthony | 70 |
| 3 | MARTIN Guillaume | 55 |
| 4 | STÜSSI Colin | 68 |
| 5 | ROSSETTO Stéphane | 68 |
| 6 | THALMANN Roland | 61 |
| 7 | COMBAUD Romain | 63 |
| 8 | BONNAFOND Guillaume | 68 |
| 9 | SICARD Romain | 63 |
| 11 | HARDY Romain | 62 |
| 12 | EDET Nicolas | 60 |
| 13 | GESBERT Élie | 63 |
| 15 | ROSÓN Jaime | 62 |
| 16 | OURSELIN Paul | 70 |
| 18 | FERNÁNDEZ Delio | 69 |