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 = 1.2 * weight - 30
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Dehairs
1
82 kgDe Schuyteneer
2
74 kgVan de Wynkele
3
75 kgKubiš
5
70 kgDrege
6
78 kgSöderqvist
7
83 kgKrijnsen
8
73 kgToudal
9
72 kgStosz
10
70 kgLovidius
13
70 kgBoroš
16
69 kgPajur
18
78 kgDelle Vedove
19
73 kgSchuran
20
70 kgBogusławski
25
77 kgWillems
27
64 kgKonychev
29
76 kgHaest
31
70 kgTurek
32
72 kgBallabio
33
70 kgAvondts
35
62 kgDelacroix
36
59 kgKlevgård
991
74 kg
1
82 kgDe Schuyteneer
2
74 kgVan de Wynkele
3
75 kgKubiš
5
70 kgDrege
6
78 kgSöderqvist
7
83 kgKrijnsen
8
73 kgToudal
9
72 kgStosz
10
70 kgLovidius
13
70 kgBoroš
16
69 kgPajur
18
78 kgDelle Vedove
19
73 kgSchuran
20
70 kgBogusławski
25
77 kgWillems
27
64 kgKonychev
29
76 kgHaest
31
70 kgTurek
32
72 kgBallabio
33
70 kgAvondts
35
62 kgDelacroix
36
59 kgKlevgård
991
74 kg
Weight (KG) →
Result →
83
59
1
991
# | Rider | Weight (KG) |
---|---|---|
1 | DEHAIRS Simon | 82 |
2 | DE SCHUYTENEER Steffen | 74 |
3 | VAN DE WYNKELE Lorenz | 75 |
5 | KUBIŠ Lukáš | 70 |
6 | DREGE André | 78 |
7 | SÖDERQVIST Jakob | 83 |
8 | KRIJNSEN Jelte | 73 |
9 | TOUDAL Emil | 72 |
10 | STOSZ Patryk | 70 |
13 | LOVIDIUS Edvin | 70 |
16 | BOROŠ Michael | 69 |
18 | PAJUR Romet | 78 |
19 | DELLE VEDOVE Alessio | 73 |
20 | SCHURAN Michal | 70 |
25 | BOGUSŁAWSKI Marceli | 77 |
27 | WILLEMS Jago | 64 |
29 | KONYCHEV Alexander | 76 |
31 | HAEST Jasper | 70 |
32 | TUREK Daniel | 72 |
33 | BALLABIO Giacomo | 70 |
35 | AVONDTS Mathis | 62 |
36 | DELACROIX Tristan | 59 |
991 | KLEVGÅRD Kristian | 74 |