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 = -0.5 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Cullaigh
1
78 kgSanz
2
67 kgGarcía de Mateos
4
68 kgAlarcón
5
72 kgBritton
6
69 kgSilva
7
65 kgHiguita
8
57 kgWright
9
75 kgBarthe
10
70 kgFouché
11
71 kgFoss
12
74 kgMatias
14
72 kgNocentini
15
60 kgThièry
16
67 kgRodrigues
18
60 kgGrigorev
19
73 kgMestre
20
58 kgSoto
21
66 kgAraujo
23
68 kgPinto
28
58 kg
1
78 kgSanz
2
67 kgGarcía de Mateos
4
68 kgAlarcón
5
72 kgBritton
6
69 kgSilva
7
65 kgHiguita
8
57 kgWright
9
75 kgBarthe
10
70 kgFouché
11
71 kgFoss
12
74 kgMatias
14
72 kgNocentini
15
60 kgThièry
16
67 kgRodrigues
18
60 kgGrigorev
19
73 kgMestre
20
58 kgSoto
21
66 kgAraujo
23
68 kgPinto
28
58 kg
Weight (KG) →
Result →
78
57
1
28
# | Rider | Weight (KG) |
---|---|---|
1 | CULLAIGH Gabriel | 78 |
2 | SANZ Enrique | 67 |
4 | GARCÍA DE MATEOS Vicente | 68 |
5 | ALARCÓN Raúl | 72 |
6 | BRITTON Rhys | 69 |
7 | SILVA Rafael | 65 |
8 | HIGUITA Sergio | 57 |
9 | WRIGHT Fred | 75 |
10 | BARTHE Cyril | 70 |
11 | FOUCHÉ James | 71 |
12 | FOSS Tobias | 74 |
14 | MATIAS João | 72 |
15 | NOCENTINI Rinaldo | 60 |
16 | THIÈRY Cyrille | 67 |
18 | RODRIGUES João | 60 |
19 | GRIGOREV Aleksandr | 73 |
20 | MESTRE Ricardo | 58 |
21 | SOTO Antonio Jesús | 66 |
23 | ARAUJO Bruno | 68 |
28 | PINTO Edgar | 58 |