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 = 0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Martínez
2
70 kgKashechkin
5
70 kgGalparsoro
6
67 kgLobato
8
64 kgSánchez
13
60 kgAstarloza
22
72 kgEskov
24
73 kgMuravyev
25
75 kgUsano
27
62 kgVerdugo
29
71 kgReiss
32
73 kgGallastegui
35
63 kgWillems
37
67 kgEfimkin
40
70 kgPérez
43
70 kgSteegmans
45
82 kgPasamontes
47
72 kgFrattini
62
63 kgRetschke
63
66 kgde Sárraga
66
69 kgEfimkin
68
67 kg
2
70 kgKashechkin
5
70 kgGalparsoro
6
67 kgLobato
8
64 kgSánchez
13
60 kgAstarloza
22
72 kgEskov
24
73 kgMuravyev
25
75 kgUsano
27
62 kgVerdugo
29
71 kgReiss
32
73 kgGallastegui
35
63 kgWillems
37
67 kgEfimkin
40
70 kgPérez
43
70 kgSteegmans
45
82 kgPasamontes
47
72 kgFrattini
62
63 kgRetschke
63
66 kgde Sárraga
66
69 kgEfimkin
68
67 kg
Weight (KG) →
Result →
82
60
2
68
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARTÍNEZ Egoi | 70 |
| 5 | KASHECHKIN Andrey | 70 |
| 6 | GALPARSORO Dionisio | 67 |
| 8 | LOBATO Rubén | 64 |
| 13 | SÁNCHEZ Julián | 60 |
| 22 | ASTARLOZA Mikel | 72 |
| 24 | ESKOV Nikita | 73 |
| 25 | MURAVYEV Dmitriy | 75 |
| 27 | USANO Julian | 62 |
| 29 | VERDUGO Gorka | 71 |
| 32 | REISS Andris | 73 |
| 35 | GALLASTEGUI Alexander | 63 |
| 37 | WILLEMS Frederik | 67 |
| 40 | EFIMKIN Alexander | 70 |
| 43 | PÉREZ Aitor | 70 |
| 45 | STEEGMANS Gert | 82 |
| 47 | PASAMONTES Luis | 72 |
| 62 | FRATTINI Davide | 63 |
| 63 | RETSCHKE Robert | 66 |
| 66 | DE SÁRRAGA Mario | 69 |
| 68 | EFIMKIN Vladimir | 67 |