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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bouwman
1
60 kgWillems
2
67 kgHaga
3
71.5 kgJanssens
4
74 kgGall
5
66 kgZoidl
6
63 kgHowson
7
68 kgBauer
8
74 kgEenkhoorn
10
72 kgŘepa
11
71 kgHoelgaard
12
74 kgTræen
13
63 kgBrajkovič
14
60 kgFrigo
15
70 kgWarlop
16
71 kgHepburn
17
77 kgRekita
18
70 kgBole
19
69 kgSchlegel
20
72 kgAbrahamsen
21
78 kgKanter
22
68 kgSchmid
23
70 kgDenz
24
71 kgNovak
25
70 kg
1
60 kgWillems
2
67 kgHaga
3
71.5 kgJanssens
4
74 kgGall
5
66 kgZoidl
6
63 kgHowson
7
68 kgBauer
8
74 kgEenkhoorn
10
72 kgŘepa
11
71 kgHoelgaard
12
74 kgTræen
13
63 kgBrajkovič
14
60 kgFrigo
15
70 kgWarlop
16
71 kgHepburn
17
77 kgRekita
18
70 kgBole
19
69 kgSchlegel
20
72 kgAbrahamsen
21
78 kgKanter
22
68 kgSchmid
23
70 kgDenz
24
71 kgNovak
25
70 kg
Weight (KG) →
Result →
78
60
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUWMAN Koen | 60 |
| 2 | WILLEMS Thimo | 67 |
| 3 | HAGA Chad | 71.5 |
| 4 | JANSSENS Jimmy | 74 |
| 5 | GALL Felix | 66 |
| 6 | ZOIDL Riccardo | 63 |
| 7 | HOWSON Damien | 68 |
| 8 | BAUER Jack | 74 |
| 10 | EENKHOORN Pascal | 72 |
| 11 | ŘEPA Vojtěch | 71 |
| 12 | HOELGAARD Markus | 74 |
| 13 | TRÆEN Torstein | 63 |
| 14 | BRAJKOVIČ Janez | 60 |
| 15 | FRIGO Marco | 70 |
| 16 | WARLOP Jordi | 71 |
| 17 | HEPBURN Michael | 77 |
| 18 | REKITA Szymon | 70 |
| 19 | BOLE Grega | 69 |
| 20 | SCHLEGEL Michal | 72 |
| 21 | ABRAHAMSEN Jonas | 78 |
| 22 | KANTER Max | 68 |
| 23 | SCHMID Mauro | 70 |
| 24 | DENZ Nico | 71 |
| 25 | NOVAK Domen | 70 |