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 = 0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Iglinskiy
1
68 kgGarrido
4
70 kgNepomnyachshiy
5
62 kgStević
7
66 kgTombak
10
71 kgFofonov
11
65 kgPedraza
13
58 kgLagkuti
17
68 kgMizurov
25
68 kgSzeghalmi
26
66 kgCardoso
30
56 kgSilva
37
71 kgShushemoin
40
62 kgGerganov
44
60 kgCasimiro
45
62 kgGyurov
50
75 kgGruzdev
52
78 kgPetrov
53
63 kgȚvetcov
57
69 kgPütsep
71
69 kgHristov
76
57 kgSchiewer
78
70 kg
1
68 kgGarrido
4
70 kgNepomnyachshiy
5
62 kgStević
7
66 kgTombak
10
71 kgFofonov
11
65 kgPedraza
13
58 kgLagkuti
17
68 kgMizurov
25
68 kgSzeghalmi
26
66 kgCardoso
30
56 kgSilva
37
71 kgShushemoin
40
62 kgGerganov
44
60 kgCasimiro
45
62 kgGyurov
50
75 kgGruzdev
52
78 kgPetrov
53
63 kgȚvetcov
57
69 kgPütsep
71
69 kgHristov
76
57 kgSchiewer
78
70 kg
Weight (KG) →
Result →
78
56
1
78
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IGLINSKIY Valentin | 68 |
| 4 | GARRIDO Martin Gerardo | 70 |
| 5 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 7 | STEVIĆ Ivan | 66 |
| 10 | TOMBAK Janek | 71 |
| 11 | FOFONOV Dmitriy | 65 |
| 13 | PEDRAZA Wálter Fernando | 58 |
| 17 | LAGKUTI Sergiy | 68 |
| 25 | MIZUROV Andrey | 68 |
| 26 | SZEGHALMI Balint | 66 |
| 30 | CARDOSO André | 56 |
| 37 | SILVA Luis Filipe | 71 |
| 40 | SHUSHEMOIN Alexandr | 62 |
| 44 | GERGANOV Evgeni | 60 |
| 45 | CASIMIRO Henrique | 62 |
| 50 | GYUROV Spas | 75 |
| 52 | GRUZDEV Dmitriy | 78 |
| 53 | PETROV Danail Andonov | 63 |
| 57 | ȚVETCOV Serghei | 69 |
| 71 | PÜTSEP Erki | 69 |
| 76 | HRISTOV Stefan Koychev | 57 |
| 78 | SCHIEWER Franz | 70 |