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 = 0.7 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Valverde
1
61 kgRojas
2
70 kgContador
3
61 kgMenchov
4
65 kgLeipheimer
5
62 kgMoreno
7
63 kgSevilla
8
62 kgPérez
9
65 kgCobo
10
62 kgClement
11
66 kgUrtasun
12
69 kgZabriskie
13
67 kgSerrano
14
67 kgPlaza
15
77 kgVitoria
16
74 kgBenítez
17
66 kgArdila
18
58 kgDeignan
19
65 kgGutiérrez
20
71 kgKostyuk
21
66 kgCardoso
23
70 kgAbakoumov
24
68 kgIrizar
25
73 kg
1
61 kgRojas
2
70 kgContador
3
61 kgMenchov
4
65 kgLeipheimer
5
62 kgMoreno
7
63 kgSevilla
8
62 kgPérez
9
65 kgCobo
10
62 kgClement
11
66 kgUrtasun
12
69 kgZabriskie
13
67 kgSerrano
14
67 kgPlaza
15
77 kgVitoria
16
74 kgBenítez
17
66 kgArdila
18
58 kgDeignan
19
65 kgGutiérrez
20
71 kgKostyuk
21
66 kgCardoso
23
70 kgAbakoumov
24
68 kgIrizar
25
73 kg
Weight (KG) →
Result →
77
58
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | VALVERDE Alejandro | 61 |
2 | ROJAS José Joaquín | 70 |
3 | CONTADOR Alberto | 61 |
4 | MENCHOV Denis | 65 |
5 | LEIPHEIMER Levi | 62 |
7 | MORENO Javier | 63 |
8 | SEVILLA Óscar | 62 |
9 | PÉREZ Rubén | 65 |
10 | COBO Juan José | 62 |
11 | CLEMENT Stef | 66 |
12 | URTASUN Pablo | 69 |
13 | ZABRISKIE David | 67 |
14 | SERRANO Ricardo | 67 |
15 | PLAZA Rubén | 77 |
16 | VITORIA David | 74 |
17 | BENÍTEZ José Alberto | 66 |
18 | ARDILA Mauricio Alberto | 58 |
19 | DEIGNAN Philip | 65 |
20 | GUTIÉRREZ José Iván | 71 |
21 | KOSTYUK Denys | 66 |
23 | CARDOSO Manuel Antonio Leal | 70 |
24 | ABAKOUMOV Igor | 68 |
25 | IRIZAR Markel | 73 |