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 = -0.8 * weight + 83
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Thomson
5
75 kgGastauer
6
73 kgBalloni
7
72 kgCosta
8
69 kgBusato
10
67 kgKvist
11
68 kgChaigneau
12
80 kgVenter
14
70 kgŠiškevičius
20
80 kgPaiani
21
77 kgLindeman
23
69 kgAnderson
25
66 kgVeilleux
27
75 kgCasimiro
29
62 kgVilela
30
59 kgDe Marchi
33
65 kgContreras
37
64 kgChaabane
39
70 kgRomero
42
55 kgPantano
66
61 kgDuarte
67
55 kgDrucker
74
75 kgArchbold
77
79 kg
5
75 kgGastauer
6
73 kgBalloni
7
72 kgCosta
8
69 kgBusato
10
67 kgKvist
11
68 kgChaigneau
12
80 kgVenter
14
70 kgŠiškevičius
20
80 kgPaiani
21
77 kgLindeman
23
69 kgAnderson
25
66 kgVeilleux
27
75 kgCasimiro
29
62 kgVilela
30
59 kgDe Marchi
33
65 kgContreras
37
64 kgChaabane
39
70 kgRomero
42
55 kgPantano
66
61 kgDuarte
67
55 kgDrucker
74
75 kgArchbold
77
79 kg
Weight (KG) →
Result →
80
55
5
77
# | Rider | Weight (KG) |
---|---|---|
5 | THOMSON Jay Robert | 75 |
6 | GASTAUER Ben | 73 |
7 | BALLONI Alfredo | 72 |
8 | COSTA Rui | 69 |
10 | BUSATO Matteo | 67 |
11 | KVIST Thomas Vedel | 68 |
12 | CHAIGNEAU Robin | 80 |
14 | VENTER Jaco | 70 |
20 | ŠIŠKEVIČIUS Evaldas | 80 |
21 | PAIANI Jean-Lou | 77 |
23 | LINDEMAN Bert-Jan | 69 |
25 | ANDERSON Ryan | 66 |
27 | VEILLEUX David | 75 |
29 | CASIMIRO Henrique | 62 |
30 | VILELA Ricardo | 59 |
33 | DE MARCHI Alessandro | 65 |
37 | CONTRERAS Mario Wilfredo | 64 |
39 | CHAABANE Hichem | 70 |
42 | ROMERO Jeffry | 55 |
66 | PANTANO Jarlinson | 61 |
67 | DUARTE Fabio | 55 |
74 | DRUCKER Jempy | 75 |
77 | ARCHBOLD Shane | 79 |