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 = 1 * weight - 36
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Nepomnyachshiy
3
62 kgPedraza
4
58 kgFofonov
6
65 kgTombak
7
71 kgCasimiro
8
62 kgCardoso
10
56 kgMizurov
12
68 kgSilva
18
71 kgIglinskiy
19
68 kgLagkuti
21
68 kgShushemoin
23
62 kgȚvetcov
25
69 kgGyurov
27
75 kgGerganov
34
60 kgSzeghalmi
46
66 kgHristov
47
57 kgGarrido
48
70 kgGruzdev
49
78 kgStević
51
66 kgPetrov
65
63 kgPütsep
70
69 kgSchiewer
76
70 kg
3
62 kgPedraza
4
58 kgFofonov
6
65 kgTombak
7
71 kgCasimiro
8
62 kgCardoso
10
56 kgMizurov
12
68 kgSilva
18
71 kgIglinskiy
19
68 kgLagkuti
21
68 kgShushemoin
23
62 kgȚvetcov
25
69 kgGyurov
27
75 kgGerganov
34
60 kgSzeghalmi
46
66 kgHristov
47
57 kgGarrido
48
70 kgGruzdev
49
78 kgStević
51
66 kgPetrov
65
63 kgPütsep
70
69 kgSchiewer
76
70 kg
Weight (KG) →
Result →
78
56
3
76
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 4 | PEDRAZA Wálter Fernando | 58 |
| 6 | FOFONOV Dmitriy | 65 |
| 7 | TOMBAK Janek | 71 |
| 8 | CASIMIRO Henrique | 62 |
| 10 | CARDOSO André | 56 |
| 12 | MIZUROV Andrey | 68 |
| 18 | SILVA Luis Filipe | 71 |
| 19 | IGLINSKIY Valentin | 68 |
| 21 | LAGKUTI Sergiy | 68 |
| 23 | SHUSHEMOIN Alexandr | 62 |
| 25 | ȚVETCOV Serghei | 69 |
| 27 | GYUROV Spas | 75 |
| 34 | GERGANOV Evgeni | 60 |
| 46 | SZEGHALMI Balint | 66 |
| 47 | HRISTOV Stefan Koychev | 57 |
| 48 | GARRIDO Martin Gerardo | 70 |
| 49 | GRUZDEV Dmitriy | 78 |
| 51 | STEVIĆ Ivan | 66 |
| 65 | PETROV Danail Andonov | 63 |
| 70 | PÜTSEP Erki | 69 |
| 76 | SCHIEWER Franz | 70 |