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 = 0.3 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Martias
1
71 kgRoux
3
73 kgVanlandschoot
4
67 kgBernaudeau
5
62 kgDelpech
6
72 kgClaude
7
69 kgHabeaux
8
68 kgJégou
9
71 kgTurgot
13
73 kgBonsergent
16
66 kgDuret
18
62 kgCherel
19
65 kgQuéméneur
22
67 kgVantomme
23
63 kgJelloul
25
58 kgBelgasem
26
68 kgGérard
28
70 kgLefèvre
32
67 kgFinot
33
65 kgThomson
34
75 kgDi Grégorio
40
67 kgLevarlet
41
67 kgLahsaini
55
77 kg
1
71 kgRoux
3
73 kgVanlandschoot
4
67 kgBernaudeau
5
62 kgDelpech
6
72 kgClaude
7
69 kgHabeaux
8
68 kgJégou
9
71 kgTurgot
13
73 kgBonsergent
16
66 kgDuret
18
62 kgCherel
19
65 kgQuéméneur
22
67 kgVantomme
23
63 kgJelloul
25
58 kgBelgasem
26
68 kgGérard
28
70 kgLefèvre
32
67 kgFinot
33
65 kgThomson
34
75 kgDi Grégorio
40
67 kgLevarlet
41
67 kgLahsaini
55
77 kg
Weight (KG) →
Result →
77
58
1
55
# | Rider | Weight (KG) |
---|---|---|
1 | MARTIAS Rony | 71 |
3 | ROUX Anthony | 73 |
4 | VANLANDSCHOOT James | 67 |
5 | BERNAUDEAU Giovanni | 62 |
6 | DELPECH Jean-Luc | 72 |
7 | CLAUDE Mathieu | 69 |
8 | HABEAUX Grégory | 68 |
9 | JÉGOU Lilian | 71 |
13 | TURGOT Sébastien | 73 |
16 | BONSERGENT Stéphane | 66 |
18 | DURET Sébastien | 62 |
19 | CHEREL Mikaël | 65 |
22 | QUÉMÉNEUR Perrig | 67 |
23 | VANTOMME Maxime | 63 |
25 | JELLOUL Adil | 58 |
26 | BELGASEM Ahmed Youssef | 68 |
28 | GÉRARD Arnaud | 70 |
32 | LEFÈVRE Laurent | 67 |
33 | FINOT Frédéric | 65 |
34 | THOMSON Jay Robert | 75 |
40 | DI GRÉGORIO Rémy | 67 |
41 | LEVARLET Guillaume | 67 |
55 | LAHSAINI Mouhssine | 77 |