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 = 1.2 * weight - 66
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Bellan
5
61 kgGhebreindrias
7
68 kgMahďar
10
61 kgBosch
15
76 kgLahsaini
24
77 kgTybor
26
72 kgBichlmann
48
72 kg
5
61 kgGhebreindrias
7
68 kgMahďar
10
61 kgBosch
15
76 kgLahsaini
24
77 kgTybor
26
72 kgBichlmann
48
72 kg
Weight (KG) →
Result →
77
61
5
48
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BELLAN Juraj | 61 |
| 7 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 10 | MAHĎAR Martin | 61 |
| 15 | BOSCH Manuel | 76 |
| 24 | LAHSAINI Mouhssine | 77 |
| 26 | TYBOR Patrik | 72 |
| 48 | BICHLMANN Daniel | 72 |