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 = 0.8 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Iglinskiy
1
68 kgTombak
6
71 kgFofonov
16
65 kgGarrido
19
70 kgHristov
20
57 kgGerganov
22
60 kgȚvetcov
23
69 kgMizurov
26
68 kgSzeghalmi
27
66 kgPedraza
29
58 kgCardoso
35
56 kgSilva
37
71 kgNepomnyachshiy
39
62 kgCasimiro
40
62 kgLagkuti
44
68 kgShushemoin
58
62 kgGruzdev
60
78 kgGyurov
64
75 kgStević
68
66 kgSchiewer
71
70 kgPetrov
72
63 kgPütsep
75
69 kg
1
68 kgTombak
6
71 kgFofonov
16
65 kgGarrido
19
70 kgHristov
20
57 kgGerganov
22
60 kgȚvetcov
23
69 kgMizurov
26
68 kgSzeghalmi
27
66 kgPedraza
29
58 kgCardoso
35
56 kgSilva
37
71 kgNepomnyachshiy
39
62 kgCasimiro
40
62 kgLagkuti
44
68 kgShushemoin
58
62 kgGruzdev
60
78 kgGyurov
64
75 kgStević
68
66 kgSchiewer
71
70 kgPetrov
72
63 kgPütsep
75
69 kg
Weight (KG) →
Result →
78
56
1
75
# | Rider | Weight (KG) |
---|---|---|
1 | IGLINSKIY Valentin | 68 |
6 | TOMBAK Janek | 71 |
16 | FOFONOV Dmitriy | 65 |
19 | GARRIDO Martin Gerardo | 70 |
20 | HRISTOV Stefan Koychev | 57 |
22 | GERGANOV Evgeni | 60 |
23 | ȚVETCOV Serghei | 69 |
26 | MIZUROV Andrey | 68 |
27 | SZEGHALMI Balint | 66 |
29 | PEDRAZA Wálter Fernando | 58 |
35 | CARDOSO André | 56 |
37 | SILVA Luis Filipe | 71 |
39 | NEPOMNYACHSHIY Yevgeniy | 62 |
40 | CASIMIRO Henrique | 62 |
44 | LAGKUTI Sergiy | 68 |
58 | SHUSHEMOIN Alexandr | 62 |
60 | GRUZDEV Dmitriy | 78 |
64 | GYUROV Spas | 75 |
68 | STEVIĆ Ivan | 66 |
71 | SCHIEWER Franz | 70 |
72 | PETROV Danail Andonov | 63 |
75 | PÜTSEP Erki | 69 |