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 + 43
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Solomennikov
1
72 kgFirsanov
5
58 kgVasylyuk
6
65 kgSchröder
9
64 kgTsatevich
14
64 kgJanorschke
15
78 kgVasilyev
18
70 kgShpilevsky
19
78 kgKochetkov
24
70 kgTopchanyuk
25
65 kgFlaksis
30
79 kgForke
31
78 kgBēcis
35
82 kgStević
36
66 kgSerebryakov
39
70 kgBoev
51
74 kgTleubayev
60
70 kgJovanović
61
60 kgPrevar
67
64 kgNikolaev
68
66 kg
1
72 kgFirsanov
5
58 kgVasylyuk
6
65 kgSchröder
9
64 kgTsatevich
14
64 kgJanorschke
15
78 kgVasilyev
18
70 kgShpilevsky
19
78 kgKochetkov
24
70 kgTopchanyuk
25
65 kgFlaksis
30
79 kgForke
31
78 kgBēcis
35
82 kgStević
36
66 kgSerebryakov
39
70 kgBoev
51
74 kgTleubayev
60
70 kgJovanović
61
60 kgPrevar
67
64 kgNikolaev
68
66 kg
Weight (KG) →
Result →
82
58
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLOMENNIKOV Andrei | 72 |
| 5 | FIRSANOV Sergey | 58 |
| 6 | VASYLYUK Andriy | 65 |
| 9 | SCHRÖDER Björn | 64 |
| 14 | TSATEVICH Alexey | 64 |
| 15 | JANORSCHKE Grischa | 78 |
| 18 | VASILYEV Maksym | 70 |
| 19 | SHPILEVSKY Boris | 78 |
| 24 | KOCHETKOV Pavel | 70 |
| 25 | TOPCHANYUK Artem | 65 |
| 30 | FLAKSIS Andžs | 79 |
| 31 | FORKE Sebastian | 78 |
| 35 | BĒCIS Armands | 82 |
| 36 | STEVIĆ Ivan | 66 |
| 39 | SEREBRYAKOV Alexander | 70 |
| 51 | BOEV Igor | 74 |
| 60 | TLEUBAYEV Ruslan | 70 |
| 61 | JOVANOVIĆ Nebojša | 60 |
| 67 | PREVAR Oleksandr | 64 |
| 68 | NIKOLAEV Sergey | 66 |