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 = -0.9 * weight + 84
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Tybor
1
72 kgGhebreindrias
3
68 kgLahsaini
15
77 kgBichlmann
19
72 kgBosch
29
76 kgMahďar
33
61 kgBellan
35
61 kg
1
72 kgGhebreindrias
3
68 kgLahsaini
15
77 kgBichlmann
19
72 kgBosch
29
76 kgMahďar
33
61 kgBellan
35
61 kg
Weight (KG) →
Result →
77
61
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TYBOR Patrik | 72 |
| 3 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 15 | LAHSAINI Mouhssine | 77 |
| 19 | BICHLMANN Daniel | 72 |
| 29 | BOSCH Manuel | 76 |
| 33 | MAHĎAR Martin | 61 |
| 35 | BELLAN Juraj | 61 |