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 = 1.4 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
De Greef
1
77 kgBisolti
3
58 kgPirazzi
8
62 kgRybakov
10
65 kgValls
11
64 kgŠtybar
13
68 kgChacón
17
70 kgMaté
22
68 kgVantornout
27
69 kgPauwels
36
60 kgEstrada
39
70 kgVervecken
40
78 kgArguelyes
41
66 kgOvechkin
46
61 kgBaugnies
49
69 kgGarcía Acosta
70
76 kgMaeztu
76
83 kgKrasnov
83
65 kg
1
77 kgBisolti
3
58 kgPirazzi
8
62 kgRybakov
10
65 kgValls
11
64 kgŠtybar
13
68 kgChacón
17
70 kgMaté
22
68 kgVantornout
27
69 kgPauwels
36
60 kgEstrada
39
70 kgVervecken
40
78 kgArguelyes
41
66 kgOvechkin
46
61 kgBaugnies
49
69 kgGarcía Acosta
70
76 kgMaeztu
76
83 kgKrasnov
83
65 kg
Weight (KG) →
Result →
83
58
1
83
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE GREEF Francis | 77 |
| 3 | BISOLTI Alessandro | 58 |
| 8 | PIRAZZI Stefano | 62 |
| 10 | RYBAKOV Alexander | 65 |
| 11 | VALLS Rafael | 64 |
| 13 | ŠTYBAR Zdeněk | 68 |
| 17 | CHACÓN Javier | 70 |
| 22 | MATÉ Luis Ángel | 68 |
| 27 | VANTORNOUT Klaas | 69 |
| 36 | PAUWELS Kevin | 60 |
| 39 | ESTRADA Juan Javier | 70 |
| 40 | VERVECKEN Erwin | 78 |
| 41 | ARGUELYES Arkimedes | 66 |
| 46 | OVECHKIN Artem | 61 |
| 49 | BAUGNIES Jérôme | 69 |
| 70 | GARCÍA ACOSTA José Vicente | 76 |
| 76 | MAEZTU Asier | 83 |
| 83 | KRASNOV Leonid | 65 |