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 = 1.6 * weight - 95
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Vantomme
1
63 kgVachon
6
65 kgLaborie
8
67 kgCieślik
9
65 kgKvist
10
68 kg
1
63 kgVachon
6
65 kgLaborie
8
67 kgCieślik
9
65 kgKvist
10
68 kg
Weight (KG) →
Result →
68
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANTOMME Maxime | 63 |
| 6 | VACHON Florian | 65 |
| 8 | LABORIE Christophe | 67 |
| 9 | CIEŚLIK Paweł | 65 |
| 10 | KVIST Thomas Vedel | 68 |