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 + 54
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 kgLunder
3
78 kgPeltonen
4
69 kgNolde
5
79 kgBanaszek
6
75 kgŠtoček
7
80 kgBárta
8
79 kgvan der Horst
9
62 kgPaterski
10
73 kgKostański
11
74 kgJägeler
13
71 kgBabor
14
79 kgStosz
15
70 kgSowiński
17
63 kgKelemen
18
70 kgFinkšt
22
70 kgBárta
23
75 kgVasilyev
24
70 kg
1
82 kgRudyk
2
76 kgLunder
3
78 kgPeltonen
4
69 kgNolde
5
79 kgBanaszek
6
75 kgŠtoček
7
80 kgBárta
8
79 kgvan der Horst
9
62 kgPaterski
10
73 kgKostański
11
74 kgJägeler
13
71 kgBabor
14
79 kgStosz
15
70 kgSowiński
17
63 kgKelemen
18
70 kgFinkšt
22
70 kgBárta
23
75 kgVasilyev
24
70 kg
Weight (KG) →
Result →
82
62
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUDMESTAD Tord | 82 |
| 2 | RUDYK Bartosz | 76 |
| 3 | LUNDER Eirik | 78 |
| 4 | PELTONEN Ukko Iisakki | 69 |
| 5 | NOLDE Tobias | 79 |
| 6 | BANASZEK Alan | 75 |
| 7 | ŠTOČEK Matúš | 80 |
| 8 | BÁRTA Tomáš | 79 |
| 9 | VAN DER HORST Dennis | 62 |
| 10 | PATERSKI Maciej | 73 |
| 11 | KOSTAŃSKI Mateusz | 74 |
| 13 | JÄGELER Robert | 71 |
| 14 | BABOR Daniel | 79 |
| 15 | STOSZ Patryk | 70 |
| 17 | SOWIŃSKI Artur | 63 |
| 18 | KELEMEN Petr | 70 |
| 22 | FINKŠT Tilen | 70 |
| 23 | BÁRTA Jan | 75 |
| 24 | VASILYEV Maksym | 70 |