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.
Aschenbrenner
1
70 kgGovekar
2
73 kgKubiš
3
70 kgGamper
4
86 kgLéonien
5
58 kgDahl
6
62 kgSteinhauser
7
65 kgLührs
10
83 kgMazzucco
12
69 kgVančo
13
69 kgBuschek
14
67 kgLindner
16
71 kgSydor
18
64 kgMovchan
30
65 kgKovar
31
65 kgPetrov
32
66 kgKolev
33
64 kgAleksandrov
34
62 kgChren
35
72 kg
1
70 kgGovekar
2
73 kgKubiš
3
70 kgGamper
4
86 kgLéonien
5
58 kgDahl
6
62 kgSteinhauser
7
65 kgLührs
10
83 kgMazzucco
12
69 kgVančo
13
69 kgBuschek
14
67 kgLindner
16
71 kgSydor
18
64 kgMovchan
30
65 kgKovar
31
65 kgPetrov
32
66 kgKolev
33
64 kgAleksandrov
34
62 kgChren
35
72 kg
Weight (KG) →
Result →
86
58
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ASCHENBRENNER Michel | 70 |
| 2 | GOVEKAR Matevž | 73 |
| 3 | KUBIŠ Lukáš | 70 |
| 4 | GAMPER Florian | 86 |
| 5 | LÉONIEN Alexandre | 58 |
| 6 | DAHL Gustav Frederik | 62 |
| 7 | STEINHAUSER Georg | 65 |
| 10 | LÜHRS Leslie | 83 |
| 12 | MAZZUCCO Fabio | 69 |
| 13 | VANČO Tobias | 69 |
| 14 | BUSCHEK Paul | 67 |
| 16 | LINDNER Tom | 71 |
| 18 | SYDOR Serhii | 64 |
| 30 | MOVCHAN Andrii | 65 |
| 31 | KOVAR Stefan | 65 |
| 32 | PETROV Yordan | 66 |
| 33 | KOLEV Yoan | 64 |
| 34 | ALEKSANDROV Yasen | 62 |
| 35 | CHREN Martin | 72 |