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 = 0.6 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Ghebreindrias
4
68 kgBellan
23
61 kgBosch
30
76 kgMahďar
31
61 kgTybor
33
72 kgLahsaini
35
77 kgBichlmann
42
72 kg
4
68 kgBellan
23
61 kgBosch
30
76 kgMahďar
31
61 kgTybor
33
72 kgLahsaini
35
77 kgBichlmann
42
72 kg
Weight (KG) →
Result →
77
61
4
42
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 23 | BELLAN Juraj | 61 |
| 30 | BOSCH Manuel | 76 |
| 31 | MAHĎAR Martin | 61 |
| 33 | TYBOR Patrik | 72 |
| 35 | LAHSAINI Mouhssine | 77 |
| 42 | BICHLMANN Daniel | 72 |