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 + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Theiler
1
75 kgCentrone
2
64 kgStüssi
3
68 kgZangerle
4
68 kgLauryssen
6
67 kgBrożyna
7
71 kgRogora
9
65 kgKukrle
10
73 kgSchulting
11
70 kgWenzel
12
68 kgRonhaar
15
60 kgBregnhøj
16
63 kgPrimožič
17
60 kgWeulink
18
62 kgVerza
19
69 kgHuby
20
56 kgBallabio
21
70 kgBerlin
22
57 kgPaterski
23
73 kgGodfroid
26
66 kg
1
75 kgCentrone
2
64 kgStüssi
3
68 kgZangerle
4
68 kgLauryssen
6
67 kgBrożyna
7
71 kgRogora
9
65 kgKukrle
10
73 kgSchulting
11
70 kgWenzel
12
68 kgRonhaar
15
60 kgBregnhøj
16
63 kgPrimožič
17
60 kgWeulink
18
62 kgVerza
19
69 kgHuby
20
56 kgBallabio
21
70 kgBerlin
22
57 kgPaterski
23
73 kgGodfroid
26
66 kg
Weight (KG) →
Result →
75
56
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THEILER Ole | 75 |
| 2 | CENTRONE Ivan | 64 |
| 3 | STÜSSI Colin | 68 |
| 4 | ZANGERLE Emanuel | 68 |
| 6 | LAURYSSEN Yorben | 67 |
| 7 | BROŻYNA Piotr | 71 |
| 9 | ROGORA Kiya | 65 |
| 10 | KUKRLE Michael | 73 |
| 11 | SCHULTING Peter | 70 |
| 12 | WENZEL Mats | 68 |
| 15 | RONHAAR Pim | 60 |
| 16 | BREGNHØJ Mathias | 63 |
| 17 | PRIMOŽIČ Jaka | 60 |
| 18 | WEULINK Meindert | 62 |
| 19 | VERZA Riccardo | 69 |
| 20 | HUBY Antoine | 56 |
| 21 | BALLABIO Giacomo | 70 |
| 22 | BERLIN Antoine | 57 |
| 23 | PATERSKI Maciej | 73 |
| 26 | GODFROID Olivier | 66 |