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 - 13
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Vantomme
1
63 kgThomson
2
75 kgMartias
3
71 kgJégou
4
71 kgBernaudeau
5
62 kgBonsergent
6
66 kgCherel
8
65 kgJelloul
9
58 kgBelgasem
12
68 kgFinot
15
65 kgTurgot
16
73 kgDuret
17
62 kgClaude
21
69 kgLahsaini
25
77 kgRoux
29
73 kgLefèvre
34
67 kgDelpech
35
72 kgQuéméneur
41
67 kgVanlandschoot
44
67 kgHabeaux
53
68 kgGérard
56
70 kgLevarlet
57
67 kgDi Grégorio
59
67 kg
1
63 kgThomson
2
75 kgMartias
3
71 kgJégou
4
71 kgBernaudeau
5
62 kgBonsergent
6
66 kgCherel
8
65 kgJelloul
9
58 kgBelgasem
12
68 kgFinot
15
65 kgTurgot
16
73 kgDuret
17
62 kgClaude
21
69 kgLahsaini
25
77 kgRoux
29
73 kgLefèvre
34
67 kgDelpech
35
72 kgQuéméneur
41
67 kgVanlandschoot
44
67 kgHabeaux
53
68 kgGérard
56
70 kgLevarlet
57
67 kgDi Grégorio
59
67 kg
Weight (KG) →
Result →
77
58
1
59
# | Rider | Weight (KG) |
---|---|---|
1 | VANTOMME Maxime | 63 |
2 | THOMSON Jay Robert | 75 |
3 | MARTIAS Rony | 71 |
4 | JÉGOU Lilian | 71 |
5 | BERNAUDEAU Giovanni | 62 |
6 | BONSERGENT Stéphane | 66 |
8 | CHEREL Mikaël | 65 |
9 | JELLOUL Adil | 58 |
12 | BELGASEM Ahmed Youssef | 68 |
15 | FINOT Frédéric | 65 |
16 | TURGOT Sébastien | 73 |
17 | DURET Sébastien | 62 |
21 | CLAUDE Mathieu | 69 |
25 | LAHSAINI Mouhssine | 77 |
29 | ROUX Anthony | 73 |
34 | LEFÈVRE Laurent | 67 |
35 | DELPECH Jean-Luc | 72 |
41 | QUÉMÉNEUR Perrig | 67 |
44 | VANLANDSCHOOT James | 67 |
53 | HABEAUX Grégory | 68 |
56 | GÉRARD Arnaud | 70 |
57 | LEVARLET Guillaume | 67 |
59 | DI GRÉGORIO Rémy | 67 |