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 = -0.7 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Delpech
1
72 kgRoux
2
73 kgTurgot
3
73 kgLahsaini
5
77 kgMartias
6
71 kgVantomme
7
63 kgBonsergent
8
66 kgBernaudeau
9
62 kgJégou
12
71 kgVanlandschoot
13
67 kgJelloul
14
58 kgBelgasem
15
68 kgCherel
25
65 kgHabeaux
26
68 kgDuret
27
62 kgQuéméneur
37
67 kgLefèvre
38
67 kgClaude
40
69 kgThomson
41
75 kgLevarlet
65
67 kgGérard
66
70 kgFinot
68
65 kgDi Grégorio
71
67 kg
1
72 kgRoux
2
73 kgTurgot
3
73 kgLahsaini
5
77 kgMartias
6
71 kgVantomme
7
63 kgBonsergent
8
66 kgBernaudeau
9
62 kgJégou
12
71 kgVanlandschoot
13
67 kgJelloul
14
58 kgBelgasem
15
68 kgCherel
25
65 kgHabeaux
26
68 kgDuret
27
62 kgQuéméneur
37
67 kgLefèvre
38
67 kgClaude
40
69 kgThomson
41
75 kgLevarlet
65
67 kgGérard
66
70 kgFinot
68
65 kgDi Grégorio
71
67 kg
Weight (KG) →
Result →
77
58
1
71
# | Rider | Weight (KG) |
---|---|---|
1 | DELPECH Jean-Luc | 72 |
2 | ROUX Anthony | 73 |
3 | TURGOT Sébastien | 73 |
5 | LAHSAINI Mouhssine | 77 |
6 | MARTIAS Rony | 71 |
7 | VANTOMME Maxime | 63 |
8 | BONSERGENT Stéphane | 66 |
9 | BERNAUDEAU Giovanni | 62 |
12 | JÉGOU Lilian | 71 |
13 | VANLANDSCHOOT James | 67 |
14 | JELLOUL Adil | 58 |
15 | BELGASEM Ahmed Youssef | 68 |
25 | CHEREL Mikaël | 65 |
26 | HABEAUX Grégory | 68 |
27 | DURET Sébastien | 62 |
37 | QUÉMÉNEUR Perrig | 67 |
38 | LEFÈVRE Laurent | 67 |
40 | CLAUDE Mathieu | 69 |
41 | THOMSON Jay Robert | 75 |
65 | LEVARLET Guillaume | 67 |
66 | GÉRARD Arnaud | 70 |
68 | FINOT Frédéric | 65 |
71 | DI GRÉGORIO Rémy | 67 |