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 = 2.4 * weight - 113
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Delgado
2
64 kgKelly
6
77 kgFignon
7
67 kgBernaudeau
9
64 kgWinnen
10
60 kgMadiot
16
68 kgVan Impe
17
59 kgZoetemelk
20
68 kgMartin
23
62 kgDidier
33
67 kgRoche
36
74 kgde Rooij
40
69 kgVandi
42
64 kgJourdan
44
64 kgDe Wilde
48
70 kgvan der Poel
71
70 kgRíos
83
63 kgChevallier
84
69 kgBourreau
99
63 kgWampers
106
82 kgDuclos-Lassalle
107
73 kgGlaus
108
67 kgDemierre
110
70 kg
2
64 kgKelly
6
77 kgFignon
7
67 kgBernaudeau
9
64 kgWinnen
10
60 kgMadiot
16
68 kgVan Impe
17
59 kgZoetemelk
20
68 kgMartin
23
62 kgDidier
33
67 kgRoche
36
74 kgde Rooij
40
69 kgVandi
42
64 kgJourdan
44
64 kgDe Wilde
48
70 kgvan der Poel
71
70 kgRíos
83
63 kgChevallier
84
69 kgBourreau
99
63 kgWampers
106
82 kgDuclos-Lassalle
107
73 kgGlaus
108
67 kgDemierre
110
70 kg
Weight (KG) →
Result →
82
59
2
110
# | Rider | Weight (KG) |
---|---|---|
2 | DELGADO Pedro | 64 |
6 | KELLY Sean | 77 |
7 | FIGNON Laurent | 67 |
9 | BERNAUDEAU Jean-René | 64 |
10 | WINNEN Peter | 60 |
16 | MADIOT Marc | 68 |
17 | VAN IMPE Lucien | 59 |
20 | ZOETEMELK Joop | 68 |
23 | MARTIN Raymond | 62 |
33 | DIDIER Lucien | 67 |
36 | ROCHE Stephen | 74 |
40 | DE ROOIJ Theo | 69 |
42 | VANDI Alfio | 64 |
44 | JOURDAN Christian | 64 |
48 | DE WILDE Etienne | 70 |
71 | VAN DER POEL Adrie | 70 |
83 | RÍOS Abelardo Antonio | 63 |
84 | CHEVALLIER Philippe | 69 |
99 | BOURREAU Bernard | 63 |
106 | WAMPERS Jean-Marie | 82 |
107 | DUCLOS-LASSALLE Gilbert | 73 |
108 | GLAUS Gilbert | 67 |
110 | DEMIERRE Serge | 70 |