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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Leitão
1
65 kgMareczko
2
67 kgRitzinger
3
80 kgGate
4
71 kgOtruba
5
75 kgAgnoletto
6
69 kgAvondts
7
62 kgRudyk
12
76 kgMiltiadis
13
74 kgGodart
14
75 kgJackson
15
75 kgDirnbauer
17
67 kgBouglas
18
71 kgColnaghi
20
63 kgKubiš
21
70 kgBoroš
22
69 kgArvanitou
23
71 kgZoidl
24
63 kgPawlak
25
81 kgFelipe
30
58 kg
1
65 kgMareczko
2
67 kgRitzinger
3
80 kgGate
4
71 kgOtruba
5
75 kgAgnoletto
6
69 kgAvondts
7
62 kgRudyk
12
76 kgMiltiadis
13
74 kgGodart
14
75 kgJackson
15
75 kgDirnbauer
17
67 kgBouglas
18
71 kgColnaghi
20
63 kgKubiš
21
70 kgBoroš
22
69 kgArvanitou
23
71 kgZoidl
24
63 kgPawlak
25
81 kgFelipe
30
58 kg
Weight (KG) →
Result →
81
58
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEITÃO Iúri | 65 |
| 2 | MARECZKO Jakub | 67 |
| 3 | RITZINGER Felix | 80 |
| 4 | GATE Aaron | 71 |
| 5 | OTRUBA Jakub | 75 |
| 6 | AGNOLETTO Blake | 69 |
| 7 | AVONDTS Mathis | 62 |
| 12 | RUDYK Bartosz | 76 |
| 13 | MILTIADIS Andreas | 74 |
| 14 | GODART Bo | 75 |
| 15 | JACKSON George | 75 |
| 17 | DIRNBAUER Josef | 67 |
| 18 | BOUGLAS Georgios | 71 |
| 20 | COLNAGHI Luca | 63 |
| 21 | KUBIŠ Lukáš | 70 |
| 22 | BOROŠ Michael | 69 |
| 23 | ARVANITOU Nikiforos | 71 |
| 24 | ZOIDL Riccardo | 63 |
| 25 | PAWLAK Tobiasz | 81 |
| 30 | FELIPE Marcelo | 58 |