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 = -1.4 * weight + 116
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | VANOVERBERGHE Arthur | 65 |
2 | VEREECKEN Nicolas | 72 |
3 | OCKELOEN Jasper | 66 |
14 | VANDYCK Niels | 64 |
15 | DE TROYER Tim | 72 |
17 | WIPPERT Wouter | 75 |
19 | VERMOTE Alphonse | 74 |
35 | VAN DER WEIJST Geert | 63 |
51 | VANSUMERE Ian | 68 |
58 | GODERIS Jelle | 63 |