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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kogut
1
77 kgLührs
2
83 kgRudyk
3
76 kgGrosu
4
68 kgRasch
7
71 kgSteininger
9
64 kgFranz
10
60 kgWięczkowski
13
63 kgLašinis
14
69 kgPapierski
16
81 kgFrątczak
17
70 kgJensen
18
75 kgGathemann
19
62 kgLunder
20
78 kgMurias
22
65 kgSzóstka
23
63 kgDik
25
77 kgLoohuis
26
82 kgvan der Horst
27
62 kg
1
77 kgLührs
2
83 kgRudyk
3
76 kgGrosu
4
68 kgRasch
7
71 kgSteininger
9
64 kgFranz
10
60 kgWięczkowski
13
63 kgLašinis
14
69 kgPapierski
16
81 kgFrątczak
17
70 kgJensen
18
75 kgGathemann
19
62 kgLunder
20
78 kgMurias
22
65 kgSzóstka
23
63 kgDik
25
77 kgLoohuis
26
82 kgvan der Horst
27
62 kg
Weight (KG) →
Result →
83
60
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOGUT Oded | 77 |
| 2 | LÜHRS Leslie | 83 |
| 3 | RUDYK Bartosz | 76 |
| 4 | GROSU Eduard-Michael | 68 |
| 7 | RASCH Jesper | 71 |
| 9 | STEININGER Fabian | 64 |
| 10 | FRANZ Toni | 60 |
| 13 | WIĘCZKOWSKI Paweł | 63 |
| 14 | LAŠINIS Venantas | 69 |
| 16 | PAPIERSKI Damian | 81 |
| 17 | FRĄTCZAK Radosław | 70 |
| 18 | JENSEN Frederik Irgens | 75 |
| 19 | GATHEMANN Albert | 62 |
| 20 | LUNDER Eirik | 78 |
| 22 | MURIAS Jakub | 65 |
| 23 | SZÓSTKA Paweł | 63 |
| 25 | DIK Calvin | 77 |
| 26 | LOOHUIS Lars | 82 |
| 27 | VAN DER HORST Dennis | 62 |