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 = 0.9 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Pütsep
2
69 kgHristov
4
57 kgFofonov
8
65 kgIglinskiy
10
68 kgTombak
11
71 kgȚvetcov
12
69 kgLagkuti
13
68 kgCardoso
18
56 kgSilva
20
71 kgSzeghalmi
24
66 kgPedraza
26
58 kgCasimiro
33
62 kgShushemoin
46
62 kgMizurov
50
68 kgGarrido
51
70 kgPetrov
59
63 kgNepomnyachshiy
63
62 kgGruzdev
64
78 kgGerganov
65
60 kgGyurov
72
75 kgStević
74
66 kgSchiewer
77
70 kg
2
69 kgHristov
4
57 kgFofonov
8
65 kgIglinskiy
10
68 kgTombak
11
71 kgȚvetcov
12
69 kgLagkuti
13
68 kgCardoso
18
56 kgSilva
20
71 kgSzeghalmi
24
66 kgPedraza
26
58 kgCasimiro
33
62 kgShushemoin
46
62 kgMizurov
50
68 kgGarrido
51
70 kgPetrov
59
63 kgNepomnyachshiy
63
62 kgGruzdev
64
78 kgGerganov
65
60 kgGyurov
72
75 kgStević
74
66 kgSchiewer
77
70 kg
Weight (KG) →
Result →
78
56
2
77
# | Rider | Weight (KG) |
---|---|---|
2 | PÜTSEP Erki | 69 |
4 | HRISTOV Stefan Koychev | 57 |
8 | FOFONOV Dmitriy | 65 |
10 | IGLINSKIY Valentin | 68 |
11 | TOMBAK Janek | 71 |
12 | ȚVETCOV Serghei | 69 |
13 | LAGKUTI Sergiy | 68 |
18 | CARDOSO André | 56 |
20 | SILVA Luis Filipe | 71 |
24 | SZEGHALMI Balint | 66 |
26 | PEDRAZA Wálter Fernando | 58 |
33 | CASIMIRO Henrique | 62 |
46 | SHUSHEMOIN Alexandr | 62 |
50 | MIZUROV Andrey | 68 |
51 | GARRIDO Martin Gerardo | 70 |
59 | PETROV Danail Andonov | 63 |
63 | NEPOMNYACHSHIY Yevgeniy | 62 |
64 | GRUZDEV Dmitriy | 78 |
65 | GERGANOV Evgeni | 60 |
72 | GYUROV Spas | 75 |
74 | STEVIĆ Ivan | 66 |
77 | SCHIEWER Franz | 70 |