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 = 2.1 * weight - 123
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Sukhoruchenkov
1
72 kgAverin
4
69 kgMytnik
18
75 kgJourdan
19
64 kgFernández
36
68 kgKonečný
42
75 kgKlasa
57
79 kg
1
72 kgAverin
4
69 kgMytnik
18
75 kgJourdan
19
64 kgFernández
36
68 kgKonečný
42
75 kgKlasa
57
79 kg
Weight (KG) →
Result →
79
64
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUKHORUCHENKOV Sergei | 72 |
| 4 | AVERIN Alexandre | 69 |
| 18 | MYTNIK Tadeusz | 75 |
| 19 | JOURDAN Christian | 64 |
| 36 | FERNÁNDEZ Juan | 68 |
| 42 | KONEČNÝ Vlastibor | 75 |
| 57 | KLASA Michal | 79 |