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 = 0.5 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Yates
1
58 kgAlbanese
2
70 kgFortunato
3
57 kgSosa
4
52 kgVuillermoz
5
60 kgEdet
6
60 kgPedrero
7
60 kgVauquelin
8
69 kgLastra
9
64 kgArrieta
10
64 kgBizkarra
11
53 kgVerre
12
59 kgRodríguez
13
59 kgSánchez
15
62 kgSilva
16
66 kgHowson
17
68 kgScotson
18
77 kgSamitier
19
63 kgGrellier
20
65 kgSchultz
21
68 kg
1
58 kgAlbanese
2
70 kgFortunato
3
57 kgSosa
4
52 kgVuillermoz
5
60 kgEdet
6
60 kgPedrero
7
60 kgVauquelin
8
69 kgLastra
9
64 kgArrieta
10
64 kgBizkarra
11
53 kgVerre
12
59 kgRodríguez
13
59 kgSánchez
15
62 kgSilva
16
66 kgHowson
17
68 kgScotson
18
77 kgSamitier
19
63 kgGrellier
20
65 kgSchultz
21
68 kg
Weight (KG) →
Result →
77
52
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Simon | 58 |
| 2 | ALBANESE Vincenzo | 70 |
| 3 | FORTUNATO Lorenzo | 57 |
| 4 | SOSA Iván Ramiro | 52 |
| 5 | VUILLERMOZ Alexis | 60 |
| 6 | EDET Nicolas | 60 |
| 7 | PEDRERO Antonio | 60 |
| 8 | VAUQUELIN Kévin | 69 |
| 9 | LASTRA Jonathan | 64 |
| 10 | ARRIETA Igor | 64 |
| 11 | BIZKARRA Mikel | 53 |
| 12 | VERRE Alessandro | 59 |
| 13 | RODRÍGUEZ Cristián | 59 |
| 15 | SÁNCHEZ Pelayo | 62 |
| 16 | SILVA Joaquim | 66 |
| 17 | HOWSON Damien | 68 |
| 18 | SCOTSON Callum | 77 |
| 19 | SAMITIER Sergio | 63 |
| 20 | GRELLIER Fabien | 65 |
| 21 | SCHULTZ Nick | 68 |