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 + 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Church
5
70 kgLarronde
6
71 kgMedina
9
64 kgAkimoto
29
62 kgScott
51
76 kgGuérin
54
64 kg
5
70 kgLarronde
6
71 kgMedina
9
64 kgAkimoto
29
62 kgScott
51
76 kgGuérin
54
64 kg
Weight (KG) →
Result →
76
62
5
54
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | CHURCH Nolan | 70 |
| 6 | LARRONDE Ellande | 71 |
| 9 | MEDINA Joaquin | 64 |
| 29 | AKIMOTO Ao | 62 |
| 51 | SCOTT Oliver | 76 |
| 54 | GUÉRIN Étienne | 64 |