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 - 36
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRANCK Alicia | 51 |
| 2 | WANKIEWICZ Olga | 58 |
| 3 | STERN Léa | 55 |
| 3 | MILETTE Laury | 52 |
| 6 | LEE Lucy | 53 |
| 6 | VAN BOKHOVEN Julia | 51 |
| 11 | KAJIHARA Yumi | 59 |
| 15 | LORENZEN Christina Bragh | 71 |
| 15 | BRANDT HEISEL Maja Winther | 52 |
| 20 | OOSTERWOUD Wendy | 60 |
| 24 | PRIETO Marcela Elizabeth | 54 |
| 25 | BOLKS Florien | 60 |
| 26 | POMARES Cindy | 63 |
| 26 | SCOTT Katie | 60 |