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 + 60
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Gudmestad
1
82 kgRudyk
2
76 kgBárta
3
79 kgLunder
4
78 kgBanaszek
5
75 kgBabor
6
79 kgPeltonen
7
69 kgStosz
8
70 kgNolde
9
79 kgJägeler
10
71 kgvan der Horst
11
62 kgŠtoček
13
80 kgKaňkovský
14
83 kgKostański
15
74 kgPaterski
16
73 kgRoos
19
76 kgKelemen
20
70 kgSowiński
21
63 kgFinkšt
24
70 kgBárta
25
75 kgDrost
26
57 kgVasilyev
27
70 kg
1
82 kgRudyk
2
76 kgBárta
3
79 kgLunder
4
78 kgBanaszek
5
75 kgBabor
6
79 kgPeltonen
7
69 kgStosz
8
70 kgNolde
9
79 kgJägeler
10
71 kgvan der Horst
11
62 kgŠtoček
13
80 kgKaňkovský
14
83 kgKostański
15
74 kgPaterski
16
73 kgRoos
19
76 kgKelemen
20
70 kgSowiński
21
63 kgFinkšt
24
70 kgBárta
25
75 kgDrost
26
57 kgVasilyev
27
70 kg
Weight (KG) →
Result →
83
57
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUDMESTAD Tord | 82 |
| 2 | RUDYK Bartosz | 76 |
| 3 | BÁRTA Tomáš | 79 |
| 4 | LUNDER Eirik | 78 |
| 5 | BANASZEK Alan | 75 |
| 6 | BABOR Daniel | 79 |
| 7 | PELTONEN Ukko Iisakki | 69 |
| 8 | STOSZ Patryk | 70 |
| 9 | NOLDE Tobias | 79 |
| 10 | JÄGELER Robert | 71 |
| 11 | VAN DER HORST Dennis | 62 |
| 13 | ŠTOČEK Matúš | 80 |
| 14 | KAŇKOVSKÝ Alois | 83 |
| 15 | KOSTAŃSKI Mateusz | 74 |
| 16 | PATERSKI Maciej | 73 |
| 19 | ROOS Andre | 76 |
| 20 | KELEMEN Petr | 70 |
| 21 | SOWIŃSKI Artur | 63 |
| 24 | FINKŠT Tilen | 70 |
| 25 | BÁRTA Jan | 75 |
| 26 | DROST Melvin | 57 |
| 27 | VASILYEV Maksym | 70 |