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 = 0.9 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHABBEY Elise | 52 |
| 3 | BARIL Olivia | 56 |
| 4 | VAN VLEUTEN Annemiek | 59 |
| 5 | LIPPERT Liane | 56 |
| 6 | BAUERNFEIND Ricarda | 53 |
| 10 | KESSLER Nina | 60 |
| 13 | LUDWIG Hannah | 55 |
| 15 | CORDON-RAGOT Audrey | 60 |
| 16 | DEMEY Valerie | 56 |
| 17 | BEULING Femke | 65 |