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 - 19
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Lagkuti
1
68 kgGyurov
3
75 kgGerganov
4
60 kgHristov
5
57 kgStević
7
66 kgPedraza
12
58 kgGarrido
13
70 kgȚvetcov
15
69 kgCardoso
20
56 kgTombak
26
71 kgSilva
27
71 kgCasimiro
37
62 kgIglinskiy
48
68 kgFofonov
50
65 kgMizurov
55
68 kgSzeghalmi
61
66 kgNepomnyachshiy
65
62 kgShushemoin
66
62 kgGruzdev
69
78 kgPetrov
70
63 kgPütsep
72
69 kgSchiewer
73
70 kg
1
68 kgGyurov
3
75 kgGerganov
4
60 kgHristov
5
57 kgStević
7
66 kgPedraza
12
58 kgGarrido
13
70 kgȚvetcov
15
69 kgCardoso
20
56 kgTombak
26
71 kgSilva
27
71 kgCasimiro
37
62 kgIglinskiy
48
68 kgFofonov
50
65 kgMizurov
55
68 kgSzeghalmi
61
66 kgNepomnyachshiy
65
62 kgShushemoin
66
62 kgGruzdev
69
78 kgPetrov
70
63 kgPütsep
72
69 kgSchiewer
73
70 kg
Weight (KG) →
Result →
78
56
1
73
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGKUTI Sergiy | 68 |
| 3 | GYUROV Spas | 75 |
| 4 | GERGANOV Evgeni | 60 |
| 5 | HRISTOV Stefan Koychev | 57 |
| 7 | STEVIĆ Ivan | 66 |
| 12 | PEDRAZA Wálter Fernando | 58 |
| 13 | GARRIDO Martin Gerardo | 70 |
| 15 | ȚVETCOV Serghei | 69 |
| 20 | CARDOSO André | 56 |
| 26 | TOMBAK Janek | 71 |
| 27 | SILVA Luis Filipe | 71 |
| 37 | CASIMIRO Henrique | 62 |
| 48 | IGLINSKIY Valentin | 68 |
| 50 | FOFONOV Dmitriy | 65 |
| 55 | MIZUROV Andrey | 68 |
| 61 | SZEGHALMI Balint | 66 |
| 65 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 66 | SHUSHEMOIN Alexandr | 62 |
| 69 | GRUZDEV Dmitriy | 78 |
| 70 | PETROV Danail Andonov | 63 |
| 72 | PÜTSEP Erki | 69 |
| 73 | SCHIEWER Franz | 70 |