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 = -0.5 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Tleubayev
2
70 kgZakarin
4
67 kgPliușchin
5
66 kgOlivier
6
64 kgRousseau
8
70 kgFumeaux
9
61 kgMeintjes
10
58 kg
2
70 kgZakarin
4
67 kgPliușchin
5
66 kgOlivier
6
64 kgRousseau
8
70 kgFumeaux
9
61 kgMeintjes
10
58 kg
Weight (KG) →
Result →
70
58
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TLEUBAYEV Ruslan | 70 |
| 4 | ZAKARIN Ilnur | 67 |
| 5 | PLIUȘCHIN Alexandr | 66 |
| 6 | OLIVIER Daan | 64 |
| 8 | ROUSSEAU Nicolas | 70 |
| 9 | FUMEAUX Jonathan | 61 |
| 10 | MEINTJES Louis | 58 |