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 + 26
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Ghebreindrias
4
68 kgTybor
12
72 kgLahsaini
17
77 kgMahďar
23
61 kgBellan
25
61 kgBichlmann
26
72 kgBosch
27
76 kg
4
68 kgTybor
12
72 kgLahsaini
17
77 kgMahďar
23
61 kgBellan
25
61 kgBichlmann
26
72 kgBosch
27
76 kg
Weight (KG) →
Result →
77
61
4
27
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 12 | TYBOR Patrik | 72 |
| 17 | LAHSAINI Mouhssine | 77 |
| 23 | MAHĎAR Martin | 61 |
| 25 | BELLAN Juraj | 61 |
| 26 | BICHLMANN Daniel | 72 |
| 27 | BOSCH Manuel | 76 |