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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Zanini
1
62 kgGranger
2
71 kgHuppertz
3
66 kgHeremans
4
68 kgKukrle
6
73 kgWeulink
8
62 kgDe Moyer
9
69 kg
1
62 kgGranger
2
71 kgHuppertz
3
66 kgHeremans
4
68 kgKukrle
6
73 kgWeulink
8
62 kgDe Moyer
9
69 kg
Weight (KG) →
Result →
73
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZANINI Simone | 62 |
| 2 | GRANGER Ben | 71 |
| 3 | HUPPERTZ Joshua | 66 |
| 4 | HEREMANS Joppe | 68 |
| 6 | KUKRLE Michael | 73 |
| 8 | WEULINK Meindert | 62 |
| 9 | DE MOYER Kenay | 69 |