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 = 1.3 * weight - 35
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Brutt
8
70 kgNavarro
9
60 kgTondo
11
68 kgPardilla
20
65 kgVeuchelen
22
75 kgWillems
27
67 kgZonneveld
33
63 kgAgirre
36
68 kgDe Schrooder
50
61 kgMertens
51
67 kgKlimov
54
69 kgAverin
56
74 kgBenítez
59
66 kgBlain
67
82 kgOrtega
68
68 kgRosendo
70
66 kgIgnatiev
87
67 kgTrusov
94
77 kgMoreno
96
59 kgBarbé
111
75 kg
8
70 kgNavarro
9
60 kgTondo
11
68 kgPardilla
20
65 kgVeuchelen
22
75 kgWillems
27
67 kgZonneveld
33
63 kgAgirre
36
68 kgDe Schrooder
50
61 kgMertens
51
67 kgKlimov
54
69 kgAverin
56
74 kgBenítez
59
66 kgBlain
67
82 kgOrtega
68
68 kgRosendo
70
66 kgIgnatiev
87
67 kgTrusov
94
77 kgMoreno
96
59 kgBarbé
111
75 kg
Weight (KG) →
Result →
82
59
8
111
# | Rider | Weight (KG) |
---|---|---|
8 | BRUTT Pavel | 70 |
9 | NAVARRO Daniel | 60 |
11 | TONDO Xavier | 68 |
20 | PARDILLA Sergio | 65 |
22 | VEUCHELEN Frederik | 75 |
27 | WILLEMS Frederik | 67 |
33 | ZONNEVELD Thijs | 63 |
36 | AGIRRE Josu | 68 |
50 | DE SCHROODER Benny | 61 |
51 | MERTENS Pieter | 67 |
54 | KLIMOV Sergey | 69 |
56 | AVERIN Maksym | 74 |
59 | BENÍTEZ José Alberto | 66 |
67 | BLAIN Alexandre | 82 |
68 | ORTEGA Manuel | 68 |
70 | ROSENDO Jesús | 66 |
87 | IGNATIEV Mikhail | 67 |
94 | TRUSOV Nikolay | 77 |
96 | MORENO Daniel | 59 |
111 | BARBÉ Koen | 75 |