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 = 2.5 * weight - 98
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | PINTAR Urška | 56 |
| 14 | MICHIELS Githa | 60 |
| 32 | GAFINOVITZ Rotem | 52 |
| 33 | MILETTE Laury | 52 |
| 35 | VANDENBULCKE Jesse | 60 |
| 36 | VERDONSCHOT Laura | 52 |
| 39 | OOSTERWOUD Wendy | 60 |
| 42 | FRANCIS Jenaya | 56 |
| 43 | BRANDT HEISEL Maja Winther | 52 |
| 44 | GEDRAITYTĖ Akvilė | 59 |
| 65 | JONCHERAY Victoire | 55 |
| 80 | DE BOER Manon | 62 |
| 93 | PISCIALI Francesca | 63 |