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 = 0.4 * weight + 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEVROUTE Corentin | 71 |
| 4 | LAGNET Gari | 59 |
| 11 | SENICOURT Kylian | 64 |
| 15 | WHITEHEAD Josh | 73 |
| 31 | CLER Gabin | 60 |
| 41 | HAWKINGS Inigo | 63 |
| 57 | COQUERET Louis | 69 |
| 58 | BREANT Romain | 62 |
| 60 | WESTLEY Dylan | 54 |
| 63 | FOULON Dorian | 73 |
| 64 | ERAUW Thiemo | 69 |
| 67 | MACKIE Ewan | 66 |
| 80 | LUDMAN Joshua | 66 |
| 95 | BRITTON Rhys | 69 |