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 = 2.1 * weight - 118
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Bonsergent
1
66 kgLevarlet
2
67 kgCherel
3
65 kgJégou
5
71 kgDuret
6
62 kgMartias
8
71 kgBernaudeau
10
62 kgRoux
11
73 kgVanlandschoot
13
67 kgVantomme
14
63 kgJelloul
17
58 kgDi Grégorio
20
67 kgBelgasem
23
68 kgHabeaux
30
68 kgLahsaini
35
77 kgClaude
43
69 kgLefèvre
49
67 kgGérard
50
70 kgFinot
51
65 kgQuéméneur
55
67 kgTurgot
57
73 kgDelpech
59
72 kgThomson
70
75 kg
1
66 kgLevarlet
2
67 kgCherel
3
65 kgJégou
5
71 kgDuret
6
62 kgMartias
8
71 kgBernaudeau
10
62 kgRoux
11
73 kgVanlandschoot
13
67 kgVantomme
14
63 kgJelloul
17
58 kgDi Grégorio
20
67 kgBelgasem
23
68 kgHabeaux
30
68 kgLahsaini
35
77 kgClaude
43
69 kgLefèvre
49
67 kgGérard
50
70 kgFinot
51
65 kgQuéméneur
55
67 kgTurgot
57
73 kgDelpech
59
72 kgThomson
70
75 kg
Weight (KG) →
Result →
77
58
1
70
# | Rider | Weight (KG) |
---|---|---|
1 | BONSERGENT Stéphane | 66 |
2 | LEVARLET Guillaume | 67 |
3 | CHEREL Mikaël | 65 |
5 | JÉGOU Lilian | 71 |
6 | DURET Sébastien | 62 |
8 | MARTIAS Rony | 71 |
10 | BERNAUDEAU Giovanni | 62 |
11 | ROUX Anthony | 73 |
13 | VANLANDSCHOOT James | 67 |
14 | VANTOMME Maxime | 63 |
17 | JELLOUL Adil | 58 |
20 | DI GRÉGORIO Rémy | 67 |
23 | BELGASEM Ahmed Youssef | 68 |
30 | HABEAUX Grégory | 68 |
35 | LAHSAINI Mouhssine | 77 |
43 | CLAUDE Mathieu | 69 |
49 | LEFÈVRE Laurent | 67 |
50 | GÉRARD Arnaud | 70 |
51 | FINOT Frédéric | 65 |
55 | QUÉMÉNEUR Perrig | 67 |
57 | TURGOT Sébastien | 73 |
59 | DELPECH Jean-Luc | 72 |
70 | THOMSON Jay Robert | 75 |