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 + 11
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Arrieta
1
64 kgVauquelin
2
69 kgIribar
3
64 kgVerre
4
59 kgPérez-Landaluce
6
70 kgSánchez
7
62 kgRies
9
67 kgAparicio
10
69 kgŘepa
11
71 kgAraiz
12
61 kgPira
13
59 kgMartín
14
60 kgAndrade
15
64 kgRangel
16
64 kgElosegui
17
75 kgRuiz
18
65 kgFancellu
19
62 kgGuerreiro
21
60 kgRota
22
64 kgGarcía
23
55 kgBennassar
24
75 kgAraujo
25
68 kgGarcía
26
67 kg
1
64 kgVauquelin
2
69 kgIribar
3
64 kgVerre
4
59 kgPérez-Landaluce
6
70 kgSánchez
7
62 kgRies
9
67 kgAparicio
10
69 kgŘepa
11
71 kgAraiz
12
61 kgPira
13
59 kgMartín
14
60 kgAndrade
15
64 kgRangel
16
64 kgElosegui
17
75 kgRuiz
18
65 kgFancellu
19
62 kgGuerreiro
21
60 kgRota
22
64 kgGarcía
23
55 kgBennassar
24
75 kgAraujo
25
68 kgGarcía
26
67 kg
Weight (KG) →
Result →
75
55
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARRIETA Igor | 64 |
| 2 | VAUQUELIN Kévin | 69 |
| 3 | IRIBAR Unai | 64 |
| 4 | VERRE Alessandro | 59 |
| 6 | PÉREZ-LANDALUCE Eduardo | 70 |
| 7 | SÁNCHEZ Pelayo | 62 |
| 9 | RIES Michel | 67 |
| 10 | APARICIO Mario | 69 |
| 11 | ŘEPA Vojtěch | 71 |
| 12 | ARAIZ Sergio | 61 |
| 13 | PIRA Yesid Albeiro | 59 |
| 14 | MARTÍN Alex | 60 |
| 15 | ANDRADE Pedro | 64 |
| 16 | RANGEL Vinícius | 64 |
| 17 | ELOSEGUI Iñigo | 75 |
| 18 | RUIZ Ibon | 65 |
| 19 | FANCELLU Alessandro | 62 |
| 21 | GUERREIRO Francisco | 60 |
| 22 | ROTA Raúl | 64 |
| 23 | GARCÍA Jhojan | 55 |
| 24 | BENNASSAR Joan Marti | 75 |
| 25 | ARAUJO Bruno | 68 |
| 26 | GARCÍA José María | 67 |