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 = 0.3 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Bichlmann
6
72 kgGhebreindrias
8
68 kgTybor
14
72 kgBellan
20
61 kgMahďar
21
61 kgLahsaini
26
77 kgBosch
33
76 kg
6
72 kgGhebreindrias
8
68 kgTybor
14
72 kgBellan
20
61 kgMahďar
21
61 kgLahsaini
26
77 kgBosch
33
76 kg
Weight (KG) →
Result →
77
61
6
33
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BICHLMANN Daniel | 72 |
| 8 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 14 | TYBOR Patrik | 72 |
| 20 | BELLAN Juraj | 61 |
| 21 | MAHĎAR Martin | 61 |
| 26 | LAHSAINI Mouhssine | 77 |
| 33 | BOSCH Manuel | 76 |