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 = 1.6 * weight - 85
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Kostyuk
2
66 kgKuschynski
3
65 kgVorganov
4
65 kgKiryienka
5
69 kgFirsanov
6
58 kgTrofimov
7
59 kgBrutt
8
70 kgIgnatiev
11
67 kgSaramotins
13
75 kgKlimov
15
69 kgBelkov
16
71 kgKochetkov
18
70 kgKunitski
20
72 kgRovny
23
62 kgEskov
26
73 kgSolomennikov
33
72 kgTrusov
38
77 kgKrivtsov
40
72 kgSerebryakov
43
70 kgOvechkin
56
61 kgSerov
57
77 kgPorsev
58
80 kg
2
66 kgKuschynski
3
65 kgVorganov
4
65 kgKiryienka
5
69 kgFirsanov
6
58 kgTrofimov
7
59 kgBrutt
8
70 kgIgnatiev
11
67 kgSaramotins
13
75 kgKlimov
15
69 kgBelkov
16
71 kgKochetkov
18
70 kgKunitski
20
72 kgRovny
23
62 kgEskov
26
73 kgSolomennikov
33
72 kgTrusov
38
77 kgKrivtsov
40
72 kgSerebryakov
43
70 kgOvechkin
56
61 kgSerov
57
77 kgPorsev
58
80 kg
Weight (KG) →
Result →
80
58
2
58
# | Rider | Weight (KG) |
---|---|---|
2 | KOSTYUK Denys | 66 |
3 | KUSCHYNSKI Aleksandr | 65 |
4 | VORGANOV Eduard | 65 |
5 | KIRYIENKA Vasil | 69 |
6 | FIRSANOV Sergey | 58 |
7 | TROFIMOV Yuri | 59 |
8 | BRUTT Pavel | 70 |
11 | IGNATIEV Mikhail | 67 |
13 | SARAMOTINS Aleksejs | 75 |
15 | KLIMOV Sergey | 69 |
16 | BELKOV Maxim | 71 |
18 | KOCHETKOV Pavel | 70 |
20 | KUNITSKI Andrei | 72 |
23 | ROVNY Ivan | 62 |
26 | ESKOV Nikita | 73 |
33 | SOLOMENNIKOV Andrei | 72 |
38 | TRUSOV Nikolay | 77 |
40 | KRIVTSOV Dmytro | 72 |
43 | SEREBRYAKOV Alexander | 70 |
56 | OVECHKIN Artem | 61 |
57 | SEROV Alexander | 77 |
58 | PORSEV Alexander | 80 |