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 + 11
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Costa
1
69 kgCastroviejo
2
62 kgMoreno
3
63 kgHerrada
4
70 kgSchumacher
5
71 kgSanz
7
67 kgRebellin
8
63 kgLobato
9
64 kgFelline
10
68 kgFernández
11
71 kgPalomares
13
56 kgZaballa
14
66 kgJules
15
64 kgIzagirre
16
60 kgDiaz
17
61 kgSancho
18
73 kgTxurruka
19
58 kgBrôco
20
66 kgSáez
21
70 kgSabido
22
70 kgIzagirre
24
66 kgAberasturi
25
69 kg
1
69 kgCastroviejo
2
62 kgMoreno
3
63 kgHerrada
4
70 kgSchumacher
5
71 kgSanz
7
67 kgRebellin
8
63 kgLobato
9
64 kgFelline
10
68 kgFernández
11
71 kgPalomares
13
56 kgZaballa
14
66 kgJules
15
64 kgIzagirre
16
60 kgDiaz
17
61 kgSancho
18
73 kgTxurruka
19
58 kgBrôco
20
66 kgSáez
21
70 kgSabido
22
70 kgIzagirre
24
66 kgAberasturi
25
69 kg
Weight (KG) →
Result →
73
56
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COSTA Rui | 69 |
| 2 | CASTROVIEJO Jonathan | 62 |
| 3 | MORENO Javier | 63 |
| 4 | HERRADA Jesús | 70 |
| 5 | SCHUMACHER Stefan | 71 |
| 7 | SANZ Enrique | 67 |
| 8 | REBELLIN Davide | 63 |
| 9 | LOBATO Juan José | 64 |
| 10 | FELLINE Fabio | 68 |
| 11 | FERNÁNDEZ Koldo | 71 |
| 13 | PALOMARES Adrián | 56 |
| 14 | ZABALLA Constantino | 66 |
| 15 | JULES Justin | 64 |
| 16 | IZAGIRRE Ion | 60 |
| 17 | DIAZ Daniel | 61 |
| 18 | SANCHO Bruno | 73 |
| 19 | TXURRUKA Amets | 58 |
| 20 | BRÔCO Hernâni | 66 |
| 21 | SÁEZ Adrián | 70 |
| 22 | SABIDO Hugo | 70 |
| 24 | IZAGIRRE Gorka | 66 |
| 25 | ABERASTURI Jon | 69 |