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 + 10
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Bilbao
1
60 kgFroome
2
68 kgContador
3
61 kgSzmyd
4
60 kgNieve
5
62 kgGeschke
6
64 kgIntxausti
7
61 kgBardet
8
65 kgSiutsou
9
68 kgSelvaggi
10
73 kgRoy
11
70 kgde Maar
12
70 kgEdet
13
60 kgCarthy
14
69 kgKelderman
15
65 kgGautier
16
65 kgTorres
17
56 kgDuijn
18
73 kgKennaugh
19
66 kgHoogerland
20
65 kgSicard
21
63 kgQuintero
22
63 kgRubiano
23
58 kg
1
60 kgFroome
2
68 kgContador
3
61 kgSzmyd
4
60 kgNieve
5
62 kgGeschke
6
64 kgIntxausti
7
61 kgBardet
8
65 kgSiutsou
9
68 kgSelvaggi
10
73 kgRoy
11
70 kgde Maar
12
70 kgEdet
13
60 kgCarthy
14
69 kgKelderman
15
65 kgGautier
16
65 kgTorres
17
56 kgDuijn
18
73 kgKennaugh
19
66 kgHoogerland
20
65 kgSicard
21
63 kgQuintero
22
63 kgRubiano
23
58 kg
Weight (KG) →
Result →
73
56
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BILBAO Pello | 60 |
| 2 | FROOME Chris | 68 |
| 3 | CONTADOR Alberto | 61 |
| 4 | SZMYD Sylwester | 60 |
| 5 | NIEVE Mikel | 62 |
| 6 | GESCHKE Simon | 64 |
| 7 | INTXAUSTI Beñat | 61 |
| 8 | BARDET Romain | 65 |
| 9 | SIUTSOU Kanstantsin | 68 |
| 10 | SELVAGGI Mirko | 73 |
| 11 | ROY Jérémy | 70 |
| 12 | DE MAAR Marc | 70 |
| 13 | EDET Nicolas | 60 |
| 14 | CARTHY Hugh | 69 |
| 15 | KELDERMAN Wilco | 65 |
| 16 | GAUTIER Cyril | 65 |
| 17 | TORRES Rodolfo Andrés | 56 |
| 18 | DUIJN Huub | 73 |
| 19 | KENNAUGH Peter | 66 |
| 20 | HOOGERLAND Johnny | 65 |
| 21 | SICARD Romain | 63 |
| 22 | QUINTERO Carlos | 63 |
| 23 | RUBIANO Miguel Angel | 58 |