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 = 0.6 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Chirico
2
58 kgIvashkin
3
73 kgBarać
5
73 kgVan Niekerk
8
64 kgIlias
10
69 kgvan Niekerk
11
59 kgJovanović
17
60 kgBalykin
21
68 kgÖrken
23
69 kgÖzgür
25
75 kgHammerschmid
29
62 kgLavrič
30
64 kgKlisurić
31
70 kgBouglas
41
71 kgHolzinger
42
58 kgPapok
43
76 kgKrasnov
44
65 kgIlić
46
86 kgRamanau
48
68 kgHammerschmid
49
60 kgSamli
58
75 kgPetrovski
60
69 kg
2
58 kgIvashkin
3
73 kgBarać
5
73 kgVan Niekerk
8
64 kgIlias
10
69 kgvan Niekerk
11
59 kgJovanović
17
60 kgBalykin
21
68 kgÖrken
23
69 kgÖzgür
25
75 kgHammerschmid
29
62 kgLavrič
30
64 kgKlisurić
31
70 kgBouglas
41
71 kgHolzinger
42
58 kgPapok
43
76 kgKrasnov
44
65 kgIlić
46
86 kgRamanau
48
68 kgHammerschmid
49
60 kgSamli
58
75 kgPetrovski
60
69 kg
Weight (KG) →
Result →
86
58
2
60
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHIRICO Luca | 58 |
| 3 | IVASHKIN Anton | 73 |
| 5 | BARAĆ Antonio | 73 |
| 8 | VAN NIEKERK Morné | 64 |
| 10 | ILIAS Periklis | 69 |
| 11 | VAN NIEKERK Aidan | 59 |
| 17 | JOVANOVIĆ Nebojša | 60 |
| 21 | BALYKIN Ivan | 68 |
| 23 | ÖRKEN Ahmet | 69 |
| 25 | ÖZGÜR Batuhan | 75 |
| 29 | HAMMERSCHMID Marvin | 62 |
| 30 | LAVRIČ Martin | 64 |
| 31 | KLISURIĆ Stevan | 70 |
| 41 | BOUGLAS Georgios | 71 |
| 42 | HOLZINGER Alexander | 58 |
| 43 | PAPOK Siarhei | 76 |
| 44 | KRASNOV Leonid | 65 |
| 46 | ILIĆ Ognjen | 86 |
| 48 | RAMANAU Raman | 68 |
| 49 | HAMMERSCHMID Raphael | 60 |
| 58 | SAMLI Feritcan | 75 |
| 60 | PETROVSKI Stefan | 69 |