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 - 14
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Pedraza
3
58 kgFofonov
6
65 kgNepomnyachshiy
8
62 kgMizurov
10
68 kgSilva
12
71 kgLagkuti
13
68 kgCardoso
14
56 kgCasimiro
15
62 kgTombak
17
71 kgIglinskiy
20
68 kgShushemoin
23
62 kgGyurov
26
75 kgGarrido
28
70 kgSzeghalmi
30
66 kgGruzdev
42
78 kgȚvetcov
44
69 kgHristov
46
57 kgGerganov
47
60 kgStević
48
66 kgPetrov
53
63 kgSchiewer
70
70 kgPütsep
72
69 kg
3
58 kgFofonov
6
65 kgNepomnyachshiy
8
62 kgMizurov
10
68 kgSilva
12
71 kgLagkuti
13
68 kgCardoso
14
56 kgCasimiro
15
62 kgTombak
17
71 kgIglinskiy
20
68 kgShushemoin
23
62 kgGyurov
26
75 kgGarrido
28
70 kgSzeghalmi
30
66 kgGruzdev
42
78 kgȚvetcov
44
69 kgHristov
46
57 kgGerganov
47
60 kgStević
48
66 kgPetrov
53
63 kgSchiewer
70
70 kgPütsep
72
69 kg
Weight (KG) →
Result →
78
56
3
72
# | Rider | Weight (KG) |
---|---|---|
3 | PEDRAZA Wálter Fernando | 58 |
6 | FOFONOV Dmitriy | 65 |
8 | NEPOMNYACHSHIY Yevgeniy | 62 |
10 | MIZUROV Andrey | 68 |
12 | SILVA Luis Filipe | 71 |
13 | LAGKUTI Sergiy | 68 |
14 | CARDOSO André | 56 |
15 | CASIMIRO Henrique | 62 |
17 | TOMBAK Janek | 71 |
20 | IGLINSKIY Valentin | 68 |
23 | SHUSHEMOIN Alexandr | 62 |
26 | GYUROV Spas | 75 |
28 | GARRIDO Martin Gerardo | 70 |
30 | SZEGHALMI Balint | 66 |
42 | GRUZDEV Dmitriy | 78 |
44 | ȚVETCOV Serghei | 69 |
46 | HRISTOV Stefan Koychev | 57 |
47 | GERGANOV Evgeni | 60 |
48 | STEVIĆ Ivan | 66 |
53 | PETROV Danail Andonov | 63 |
70 | SCHIEWER Franz | 70 |
72 | PÜTSEP Erki | 69 |