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 = 0.5 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Ghebreindrias
2
68 kgBichlmann
6
72 kgBellan
7
61 kgLahsaini
18
77 kgTybor
28
72 kgMahďar
30
61 kgBosch
37
76 kg
2
68 kgBichlmann
6
72 kgBellan
7
61 kgLahsaini
18
77 kgTybor
28
72 kgMahďar
30
61 kgBosch
37
76 kg
Weight (KG) →
Result →
77
61
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 6 | BICHLMANN Daniel | 72 |
| 7 | BELLAN Juraj | 61 |
| 18 | LAHSAINI Mouhssine | 77 |
| 28 | TYBOR Patrik | 72 |
| 30 | MAHĎAR Martin | 61 |
| 37 | BOSCH Manuel | 76 |