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 + 64
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | GARDEYN Gorik | 75 |
2 | DIERCKXSENS Ludo | 71 |
3 | ELIJZEN Michiel | 80 |
4 | D'HOLLANDER Glenn | 74 |
5 | DEKKERS Hans | 72 |
6 | STAMSNIJDER Tom | 76 |
7 | VANLANDSCHOOT James | 67 |
8 | EECKHOUT Niko | 73 |
11 | DE GROOTE Thierry | 71 |
12 | RENDERS Sven | 63 |
15 | NEYENS Maarten | 74 |
22 | RETSCHKE Robert | 66 |
27 | LLOYD Daniel | 70 |
30 | PRONK Matthé | 73 |