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 = 1.3 * weight - 46
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Krasnov
1
65 kgStević
3
66 kgGottfried
8
60 kgLovassy
10
71 kgVasilyev
13
70 kgStash
16
77 kgBogdanovičs
20
68 kgBajc
22
65 kgVasylyuk
23
65 kgZhurkin
26
77 kgFirsanov
28
58 kgPütsep
40
69 kgRybakov
43
65 kgEdmüller
44
70 kgČanecký
45
72 kgKondrut
51
79 kgKasa
54
72 kgZakarin
62
67 kgAkdilek
65
68 kgTopchanyuk
89
65 kgEvtushenko
92
72 kgAhiyevich
105
70 kgGogl
107
71 kg
1
65 kgStević
3
66 kgGottfried
8
60 kgLovassy
10
71 kgVasilyev
13
70 kgStash
16
77 kgBogdanovičs
20
68 kgBajc
22
65 kgVasylyuk
23
65 kgZhurkin
26
77 kgFirsanov
28
58 kgPütsep
40
69 kgRybakov
43
65 kgEdmüller
44
70 kgČanecký
45
72 kgKondrut
51
79 kgKasa
54
72 kgZakarin
62
67 kgAkdilek
65
68 kgTopchanyuk
89
65 kgEvtushenko
92
72 kgAhiyevich
105
70 kgGogl
107
71 kg
Weight (KG) →
Result →
79
58
1
107
# | Rider | Weight (KG) |
---|---|---|
1 | KRASNOV Leonid | 65 |
3 | STEVIĆ Ivan | 66 |
8 | GOTTFRIED Alexander | 60 |
10 | LOVASSY Krisztián | 71 |
13 | VASILYEV Maksym | 70 |
16 | STASH Mamyr | 77 |
20 | BOGDANOVIČS Māris | 68 |
22 | BAJC Andi | 65 |
23 | VASYLYUK Andriy | 65 |
26 | ZHURKIN Nikolay | 77 |
28 | FIRSANOV Sergey | 58 |
40 | PÜTSEP Erki | 69 |
43 | RYBAKOV Alexander | 65 |
44 | EDMÜLLER Benjamin | 70 |
45 | ČANECKÝ Marek | 72 |
51 | KONDRUT Vitaliy | 79 |
54 | KASA Gabor | 72 |
62 | ZAKARIN Ilnur | 67 |
65 | AKDILEK Ahmet | 68 |
89 | TOPCHANYUK Artem | 65 |
92 | EVTUSHENKO Alexander | 72 |
105 | AHIYEVICH Aleh | 70 |
107 | GOGL Michael | 71 |