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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Hernández
1
64 kgTaaramäe
2
73 kgVázquez
3
67 kgHerrada
4
65 kgMollema
5
64 kgTrofimov
6
59 kgCunego
7
58 kgFernández
8
61 kgRodríguez
9
58 kgCobo
10
62 kgTschopp
11
62 kgIsasi
12
70 kgSánchez
13
65 kgHorner
14
70 kgLosada
15
69 kgIzagirre
16
66 kgContador
17
61 kgArroyo
18
63 kgColom
19
71 kgArrieta
20
68 kg
1
64 kgTaaramäe
2
73 kgVázquez
3
67 kgHerrada
4
65 kgMollema
5
64 kgTrofimov
6
59 kgCunego
7
58 kgFernández
8
61 kgRodríguez
9
58 kgCobo
10
62 kgTschopp
11
62 kgIsasi
12
70 kgSánchez
13
65 kgHorner
14
70 kgLosada
15
69 kgIzagirre
16
66 kgContador
17
61 kgArroyo
18
63 kgColom
19
71 kgArrieta
20
68 kg
Weight (KG) →
Result →
73
58
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERNÁNDEZ Aitor | 64 |
| 2 | TAARAMÄE Rein | 73 |
| 3 | VÁZQUEZ Manuel | 67 |
| 4 | HERRADA José | 65 |
| 5 | MOLLEMA Bauke | 64 |
| 6 | TROFIMOV Yuri | 59 |
| 7 | CUNEGO Damiano | 58 |
| 8 | FERNÁNDEZ Bingen | 61 |
| 9 | RODRÍGUEZ Joaquim | 58 |
| 10 | COBO Juan José | 62 |
| 11 | TSCHOPP Johann | 62 |
| 12 | ISASI Iñaki | 70 |
| 13 | SÁNCHEZ Samuel | 65 |
| 14 | HORNER Chris | 70 |
| 15 | LOSADA Alberto | 69 |
| 16 | IZAGIRRE Gorka | 66 |
| 17 | CONTADOR Alberto | 61 |
| 18 | ARROYO David | 63 |
| 19 | COLOM Antonio | 71 |
| 20 | ARRIETA José Luis | 68 |