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 = 1.1 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Mareczko
1
67 kgMarini
2
72 kgDuque
3
59 kgGrosu
4
68 kgLiepiņš
5
67 kgBogdanovičs
7
68 kgHill
8
67 kgSchulting
9
70 kgGodoy
13
64 kgFonzi
15
63 kgWang
16
70 kgCorella
23
75 kgKasyanov
24
62 kgKhalmuratov
25
68 kgPapok
26
76 kgVerschoor
31
74.5 kgPruus
33
71 kgWilliams
37
75 kgMetlushenko
38
82 kgGraziato
39
73 kgde Keijzer
49
72.6 kgYamamoto
52
62 kg
1
67 kgMarini
2
72 kgDuque
3
59 kgGrosu
4
68 kgLiepiņš
5
67 kgBogdanovičs
7
68 kgHill
8
67 kgSchulting
9
70 kgGodoy
13
64 kgFonzi
15
63 kgWang
16
70 kgCorella
23
75 kgKasyanov
24
62 kgKhalmuratov
25
68 kgPapok
26
76 kgVerschoor
31
74.5 kgPruus
33
71 kgWilliams
37
75 kgMetlushenko
38
82 kgGraziato
39
73 kgde Keijzer
49
72.6 kgYamamoto
52
62 kg
Weight (KG) →
Result →
82
59
1
52
# | Rider | Weight (KG) |
---|---|---|
1 | MARECZKO Jakub | 67 |
2 | MARINI Nicolas | 72 |
3 | DUQUE Leonardo Fabio | 59 |
4 | GROSU Eduard-Michael | 68 |
5 | LIEPIŅŠ Emīls | 67 |
7 | BOGDANOVIČS Māris | 68 |
8 | HILL Benjamin | 67 |
9 | SCHULTING Peter | 70 |
13 | GODOY Yonder | 64 |
15 | FONZI Giuseppe | 63 |
16 | WANG Meiyin | 70 |
23 | CORELLA Rene | 75 |
24 | KASYANOV Oleksiy | 62 |
25 | KHALMURATOV Muradjan | 68 |
26 | PAPOK Siarhei | 76 |
31 | VERSCHOOR Martijn | 74.5 |
33 | PRUUS Peeter | 71 |
37 | WILLIAMS Christopher | 75 |
38 | METLUSHENKO Yuri | 82 |
39 | GRAZIATO Massimo | 73 |
49 | DE KEIJZER Gerd | 72.6 |
52 | YAMAMOTO Genki | 62 |