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 - 48
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Ghebreindrias
1
68 kgBellan
9
61 kgBichlmann
13
72 kgTybor
14
72 kgMahďar
16
61 kgLahsaini
19
77 kgBosch
38
76 kg
1
68 kgBellan
9
61 kgBichlmann
13
72 kgTybor
14
72 kgMahďar
16
61 kgLahsaini
19
77 kgBosch
38
76 kg
Weight (KG) →
Result →
77
61
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 9 | BELLAN Juraj | 61 |
| 13 | BICHLMANN Daniel | 72 |
| 14 | TYBOR Patrik | 72 |
| 16 | MAHĎAR Martin | 61 |
| 19 | LAHSAINI Mouhssine | 77 |
| 38 | BOSCH Manuel | 76 |