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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Sosa
1
52 kgFortunato
2
57 kgYates
3
58 kgEdet
4
60 kgAlbanese
5
70 kgPedrero
6
60 kgVuillermoz
7
60 kgBizkarra
8
53 kgArrieta
9
64 kgRodríguez
10
59 kgLastra
11
64 kgVauquelin
13
69 kgSilva
14
66 kgHowson
15
68 kgSamitier
16
63 kgVerre
17
59 kgNavarro
18
60 kgGrellier
19
65 kgSchultz
20
68 kg
1
52 kgFortunato
2
57 kgYates
3
58 kgEdet
4
60 kgAlbanese
5
70 kgPedrero
6
60 kgVuillermoz
7
60 kgBizkarra
8
53 kgArrieta
9
64 kgRodríguez
10
59 kgLastra
11
64 kgVauquelin
13
69 kgSilva
14
66 kgHowson
15
68 kgSamitier
16
63 kgVerre
17
59 kgNavarro
18
60 kgGrellier
19
65 kgSchultz
20
68 kg
Weight (KG) →
Result →
70
52
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOSA Iván Ramiro | 52 |
| 2 | FORTUNATO Lorenzo | 57 |
| 3 | YATES Simon | 58 |
| 4 | EDET Nicolas | 60 |
| 5 | ALBANESE Vincenzo | 70 |
| 6 | PEDRERO Antonio | 60 |
| 7 | VUILLERMOZ Alexis | 60 |
| 8 | BIZKARRA Mikel | 53 |
| 9 | ARRIETA Igor | 64 |
| 10 | RODRÍGUEZ Cristián | 59 |
| 11 | LASTRA Jonathan | 64 |
| 13 | VAUQUELIN Kévin | 69 |
| 14 | SILVA Joaquim | 66 |
| 15 | HOWSON Damien | 68 |
| 16 | SAMITIER Sergio | 63 |
| 17 | VERRE Alessandro | 59 |
| 18 | NAVARRO Daniel | 60 |
| 19 | GRELLIER Fabien | 65 |
| 20 | SCHULTZ Nick | 68 |