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 = 1.4 * weight - 52
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Larronde
3
71 kgMedina
7
64 kgAkimoto
27
62 kgChurch
47
70 kgScott
73
76 kgGuérin
85
64 kg
3
71 kgMedina
7
64 kgAkimoto
27
62 kgChurch
47
70 kgScott
73
76 kgGuérin
85
64 kg
Weight (KG) →
Result →
76
62
3
85
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LARRONDE Ellande | 71 |
| 7 | MEDINA Joaquin | 64 |
| 27 | AKIMOTO Ao | 62 |
| 47 | CHURCH Nolan | 70 |
| 73 | SCOTT Oliver | 76 |
| 85 | GUÉRIN Étienne | 64 |