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 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Černý
1
75 kgKorošec
3
75 kgFolsach
4
81 kgMenten
5
68 kgVinjebo
6
67 kgBajc
8
65 kgCieślik
9
65 kgLienhard
10
73 kgMager
11
60 kgPolnický
12
68 kgBais
13
66 kgAaen Jørgensen
14
63 kgSalzmann
15
72 kgKomar
16
73 kgQuaade
17
77 kgNõmmela
19
69 kgPessot
20
75 kgRogina
21
70 kgTybor
24
72 kgStokbro
25
70 kgRekita
28
70 kgStöhr
30
72 kg
1
75 kgKorošec
3
75 kgFolsach
4
81 kgMenten
5
68 kgVinjebo
6
67 kgBajc
8
65 kgCieślik
9
65 kgLienhard
10
73 kgMager
11
60 kgPolnický
12
68 kgBais
13
66 kgAaen Jørgensen
14
63 kgSalzmann
15
72 kgKomar
16
73 kgQuaade
17
77 kgNõmmela
19
69 kgPessot
20
75 kgRogina
21
70 kgTybor
24
72 kgStokbro
25
70 kgRekita
28
70 kgStöhr
30
72 kg
Weight (KG) →
Result →
81
60
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ČERNÝ Josef | 75 |
| 3 | KOROŠEC Rok | 75 |
| 4 | FOLSACH Casper | 81 |
| 5 | MENTEN Milan | 68 |
| 6 | VINJEBO Emil Mielke | 67 |
| 8 | BAJC Andi | 65 |
| 9 | CIEŚLIK Paweł | 65 |
| 10 | LIENHARD Fabian | 73 |
| 11 | MAGER Christian | 60 |
| 12 | POLNICKÝ Jiří | 68 |
| 13 | BAIS Mattia | 66 |
| 14 | AAEN JØRGENSEN Jonas | 63 |
| 15 | SALZMANN Jodok | 72 |
| 16 | KOMAR Mateusz | 73 |
| 17 | QUAADE Rasmus | 77 |
| 19 | NÕMMELA Aksel | 69 |
| 20 | PESSOT Alessandro | 75 |
| 21 | ROGINA Radoslav | 70 |
| 24 | TYBOR Patrik | 72 |
| 25 | STOKBRO Andreas | 70 |
| 28 | REKITA Szymon | 70 |
| 30 | STÖHR Ján | 72 |