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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Jackowiak
2
65 kgReitz
4
57 kgPeace
10
63 kgBoucher
11
67 kgDijkman
14
55 kgSchwartz
19
69 kgDe Gendt
21
51 kg
2
65 kgReitz
4
57 kgPeace
10
63 kgBoucher
11
67 kgDijkman
14
55 kgSchwartz
19
69 kgDe Gendt
21
51 kg
Weight (KG) →
Result →
69
51
2
21
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JACKOWIAK Jan Michal | 65 |
| 4 | REITZ Braden | 57 |
| 10 | PEACE Matthew | 63 |
| 11 | BOUCHER Hugo | 67 |
| 14 | DIJKMAN Daan | 55 |
| 19 | SCHWARTZ Simon | 69 |
| 21 | DE GENDT Leander | 51 |