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 = -0.7 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | DE VOCHT Wim | 78 |
3 | DE WEERT Kevin | 70 |
4 | VAN HUMMEL Kenny | 64 |
10 | SCHEUNEMAN Niels | 75 |
15 | HABEAUX Grégory | 68 |
20 | KLOSTERGAARD Kasper | 69 |
22 | DE KORT Koen | 69 |
23 | BONNAIRE Olivier | 67 |
24 | PRIAMO Matteo | 72 |
27 | NEIRYNCK Kevin | 71 |
32 | VAN HECKE Preben | 69 |