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 - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Castroviejo
1
62 kgIzagirre
2
66 kgHerrada
3
70 kgSánchez
4
73 kgMarque
5
68 kgde la Parte
6
64 kgTorres
7
70 kgMadrazo
8
61 kgErviti
9
82 kgRubio
10
81 kgSole
12
67 kgCubero
14
65 kgBagües
15
67 kgde Segovia
16
75 kgCantero
21
68 kgGonzález
22
62.5 kgToribio
24
64 kgSáez
26
75 kgInsausti
28
89 kg
1
62 kgIzagirre
2
66 kgHerrada
3
70 kgSánchez
4
73 kgMarque
5
68 kgde la Parte
6
64 kgTorres
7
70 kgMadrazo
8
61 kgErviti
9
82 kgRubio
10
81 kgSole
12
67 kgCubero
14
65 kgBagües
15
67 kgde Segovia
16
75 kgCantero
21
68 kgGonzález
22
62.5 kgToribio
24
64 kgSáez
26
75 kgInsausti
28
89 kg
Weight (KG) →
Result →
89
61
1
28
# | Rider | Weight (KG) |
---|---|---|
1 | CASTROVIEJO Jonathan | 62 |
2 | IZAGIRRE Gorka | 66 |
3 | HERRADA Jesús | 70 |
4 | SÁNCHEZ Luis León | 73 |
5 | MARQUE Alejandro Manuel | 68 |
6 | DE LA PARTE Víctor | 64 |
7 | TORRES Albert | 70 |
8 | MADRAZO Ángel | 61 |
9 | ERVITI Imanol | 82 |
10 | RUBIO Diego | 81 |
12 | SOLE Arnau | 67 |
14 | CUBERO Jorge | 65 |
15 | BAGÜES Aritz | 67 |
16 | DE SEGOVIA José Antonio | 75 |
21 | CANTERO Francisco Javier | 68 |
22 | GONZÁLEZ Óscar | 62.5 |
24 | TORIBIO José Vicente | 64 |
26 | SÁEZ Héctor | 75 |
28 | INSAUSTI Jon Ander | 89 |