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 = -2.8 * weight + 209
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
Church
1
70 kgMedina
4
64 kgScott
6
76 kgLarronde
8
71 kgAkimoto
28
62 kgGuérin
78
64 kg
1
70 kgMedina
4
64 kgScott
6
76 kgLarronde
8
71 kgAkimoto
28
62 kgGuérin
78
64 kg
Weight (KG) →
Result →
76
62
1
78
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHURCH Nolan | 70 |
| 4 | MEDINA Joaquin | 64 |
| 6 | SCOTT Oliver | 76 |
| 8 | LARRONDE Ellande | 71 |
| 28 | AKIMOTO Ao | 62 |
| 78 | GUÉRIN Étienne | 64 |