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 - 29
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Mareczko
1
67 kgMarini
2
72 kgDuque
3
59 kgLiepiņš
4
67 kgBogdanovičs
7
68 kgFonzi
11
63 kgCorella
12
75 kgGrosu
15
68 kgWang
19
70 kgKasyanov
20
62 kgSchulting
23
70 kgVerschoor
24
74.5 kgGodoy
25
64 kgMetlushenko
28
82 kgGraziato
29
73 kgHill
30
67 kgPruus
31
71 kgKhalmuratov
32
68 kg
1
67 kgMarini
2
72 kgDuque
3
59 kgLiepiņš
4
67 kgBogdanovičs
7
68 kgFonzi
11
63 kgCorella
12
75 kgGrosu
15
68 kgWang
19
70 kgKasyanov
20
62 kgSchulting
23
70 kgVerschoor
24
74.5 kgGodoy
25
64 kgMetlushenko
28
82 kgGraziato
29
73 kgHill
30
67 kgPruus
31
71 kgKhalmuratov
32
68 kg
Weight (KG) →
Result →
82
59
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | MARINI Nicolas | 72 |
| 3 | DUQUE Leonardo Fabio | 59 |
| 4 | LIEPIŅŠ Emīls | 67 |
| 7 | BOGDANOVIČS Māris | 68 |
| 11 | FONZI Giuseppe | 63 |
| 12 | CORELLA Rene | 75 |
| 15 | GROSU Eduard-Michael | 68 |
| 19 | WANG Meiyin | 70 |
| 20 | KASYANOV Oleksiy | 62 |
| 23 | SCHULTING Peter | 70 |
| 24 | VERSCHOOR Martijn | 74.5 |
| 25 | GODOY Yonder | 64 |
| 28 | METLUSHENKO Yuri | 82 |
| 29 | GRAZIATO Massimo | 73 |
| 30 | HILL Benjamin | 67 |
| 31 | PRUUS Peeter | 71 |
| 32 | KHALMURATOV Muradjan | 68 |