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 * weight - 37
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Stević
1
66 kgBartko
2
78 kgKönig
3
62 kgBommel
8
75 kgCardoso
11
56 kgMestre
16
58 kgMancebo
19
64 kgMestre
20
65 kgIgnatenko
24
63 kgGaebel
25
68 kgHristov
26
57 kgGerganov
29
60 kgSolomennikov
41
72 kgLagkuti
45
68 kgCasimiro
46
62 kgPetrov
54
66 kgMaikin
55
68 kgBenčík
58
73 kgGil Martinez
70
60 kgGyurov
71
75 kgBengsch
75
85 kg
1
66 kgBartko
2
78 kgKönig
3
62 kgBommel
8
75 kgCardoso
11
56 kgMestre
16
58 kgMancebo
19
64 kgMestre
20
65 kgIgnatenko
24
63 kgGaebel
25
68 kgHristov
26
57 kgGerganov
29
60 kgSolomennikov
41
72 kgLagkuti
45
68 kgCasimiro
46
62 kgPetrov
54
66 kgMaikin
55
68 kgBenčík
58
73 kgGil Martinez
70
60 kgGyurov
71
75 kgBengsch
75
85 kg
Weight (KG) →
Result →
85
56
1
75
# | Rider | Weight (KG) |
---|---|---|
1 | STEVIĆ Ivan | 66 |
2 | BARTKO Robert | 78 |
3 | KÖNIG Leopold | 62 |
8 | BOMMEL Henning | 75 |
11 | CARDOSO André | 56 |
16 | MESTRE Ricardo | 58 |
19 | MANCEBO Francisco | 64 |
20 | MESTRE Daniel | 65 |
24 | IGNATENKO Petr | 63 |
25 | GAEBEL Stefan | 68 |
26 | HRISTOV Stefan Koychev | 57 |
29 | GERGANOV Evgeni | 60 |
41 | SOLOMENNIKOV Andrei | 72 |
45 | LAGKUTI Sergiy | 68 |
46 | CASIMIRO Henrique | 62 |
54 | PETROV Daniel Bogomilov | 66 |
55 | MAIKIN Roman | 68 |
58 | BENČÍK Petr | 73 |
70 | GIL MARTINEZ Tomas Aurelio | 60 |
71 | GYUROV Spas | 75 |
75 | BENGSCH Robert | 85 |