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 = 0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Martias
1
71 kgJégou
2
71 kgFinot
3
65 kgVanlandschoot
5
67 kgBonsergent
7
66 kgBernaudeau
8
62 kgDelpech
11
72 kgBelgasem
12
68 kgHabeaux
13
68 kgClaude
14
69 kgLahsaini
17
77 kgCherel
18
65 kgJelloul
20
58 kgRoux
31
73 kgVantomme
47
63 kgTurgot
53
73 kgLefèvre
55
67 kgDi Grégorio
58
67 kgLevarlet
59
67 kgDuret
65
62 kgQuéméneur
68
67 kgThomson
69
75 kgGérard
70
70 kg
1
71 kgJégou
2
71 kgFinot
3
65 kgVanlandschoot
5
67 kgBonsergent
7
66 kgBernaudeau
8
62 kgDelpech
11
72 kgBelgasem
12
68 kgHabeaux
13
68 kgClaude
14
69 kgLahsaini
17
77 kgCherel
18
65 kgJelloul
20
58 kgRoux
31
73 kgVantomme
47
63 kgTurgot
53
73 kgLefèvre
55
67 kgDi Grégorio
58
67 kgLevarlet
59
67 kgDuret
65
62 kgQuéméneur
68
67 kgThomson
69
75 kgGérard
70
70 kg
Weight (KG) →
Result →
77
58
1
70
# | Rider | Weight (KG) |
---|---|---|
1 | MARTIAS Rony | 71 |
2 | JÉGOU Lilian | 71 |
3 | FINOT Frédéric | 65 |
5 | VANLANDSCHOOT James | 67 |
7 | BONSERGENT Stéphane | 66 |
8 | BERNAUDEAU Giovanni | 62 |
11 | DELPECH Jean-Luc | 72 |
12 | BELGASEM Ahmed Youssef | 68 |
13 | HABEAUX Grégory | 68 |
14 | CLAUDE Mathieu | 69 |
17 | LAHSAINI Mouhssine | 77 |
18 | CHEREL Mikaël | 65 |
20 | JELLOUL Adil | 58 |
31 | ROUX Anthony | 73 |
47 | VANTOMME Maxime | 63 |
53 | TURGOT Sébastien | 73 |
55 | LEFÈVRE Laurent | 67 |
58 | DI GRÉGORIO Rémy | 67 |
59 | LEVARLET Guillaume | 67 |
65 | DURET Sébastien | 62 |
68 | QUÉMÉNEUR Perrig | 67 |
69 | THOMSON Jay Robert | 75 |
70 | GÉRARD Arnaud | 70 |