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 + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Vinjebo
2
67 kgLienhard
3
73 kgSalzmann
4
72 kgHorvat
5
70 kgČerný
6
75 kgRogina
8
70 kgPiaskowy
10
60 kgKomar
11
73 kgBais
12
66 kgKalojíros
14
68 kgStokbro
15
70 kgQuaade
16
77 kgRekita
17
70 kgCieślik
18
65 kgUmhaller
20
64 kgPolnický
21
68 kgSørensen
22
64 kgPronskiy
23
58 kg
2
67 kgLienhard
3
73 kgSalzmann
4
72 kgHorvat
5
70 kgČerný
6
75 kgRogina
8
70 kgPiaskowy
10
60 kgKomar
11
73 kgBais
12
66 kgKalojíros
14
68 kgStokbro
15
70 kgQuaade
16
77 kgRekita
17
70 kgCieślik
18
65 kgUmhaller
20
64 kgPolnický
21
68 kgSørensen
22
64 kgPronskiy
23
58 kg
Weight (KG) →
Result →
77
58
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VINJEBO Emil Mielke | 67 |
| 3 | LIENHARD Fabian | 73 |
| 4 | SALZMANN Jodok | 72 |
| 5 | HORVAT Žiga | 70 |
| 6 | ČERNÝ Josef | 75 |
| 8 | ROGINA Radoslav | 70 |
| 10 | PIASKOWY Emanuel | 60 |
| 11 | KOMAR Mateusz | 73 |
| 12 | BAIS Mattia | 66 |
| 14 | KALOJÍROS Tomáš | 68 |
| 15 | STOKBRO Andreas | 70 |
| 16 | QUAADE Rasmus | 77 |
| 17 | REKITA Szymon | 70 |
| 18 | CIEŚLIK Paweł | 65 |
| 20 | UMHALLER Thomas | 64 |
| 21 | POLNICKÝ Jiří | 68 |
| 22 | SØRENSEN Chris Anker | 64 |
| 23 | PRONSKIY Vadim | 58 |