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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Roglič
1
65 kgHindley
2
60 kgHill
3
67 kgMajka
4
62 kgKatrašnik
5
69 kgKittel
7
82 kg
1
65 kgHindley
2
60 kgHill
3
67 kgMajka
4
62 kgKatrašnik
5
69 kgKittel
7
82 kg
Weight (KG) →
Result →
82
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGLIČ Primož | 65 |
| 2 | HINDLEY Jai | 60 |
| 3 | HILL Benjamin | 67 |
| 4 | MAJKA Rafał | 62 |
| 5 | KATRAŠNIK Gašper | 69 |
| 7 | KITTEL Marcel | 82 |