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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BOASSON HAGEN Edvald | 75 |
2 | GILBERT Philippe | 75 |
3 | VAN AERT Wout | 78 |
4 | POLITT Nils | 80 |
5 | MÜHLBERGER Gregor | 64 |
6 | COLBRELLI Sonny | 74 |
7 | KOCH Jonas | 75 |
8 | VERMOTE Julien | 74 |
9 | LUTSENKO Alexey | 74 |
10 | COSNEFROY Benoît | 65 |
11 | KWIATKOWSKI Michał | 68 |
12 | DOUBEY Fabien | 62 |
13 | EG Niklas | 60 |