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 + 60
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Janorschke
2
78 kgBēcis
4
82 kgSerebryakov
6
70 kgTleubayev
8
70 kgNikolaev
21
66 kgSchröder
26
64 kgStević
29
66 kgFirsanov
34
58 kgKochetkov
41
70 kgTopchanyuk
47
65 kgVasylyuk
50
65 kgSolomennikov
55
72 kgJovanović
56
60 kgFlaksis
57
79 kgPrevar
59
64 kgVasilyev
68
70 kgTsatevich
94
64 kgBoev
97
74 kgShpilevsky
101
78 kg
2
78 kgBēcis
4
82 kgSerebryakov
6
70 kgTleubayev
8
70 kgNikolaev
21
66 kgSchröder
26
64 kgStević
29
66 kgFirsanov
34
58 kgKochetkov
41
70 kgTopchanyuk
47
65 kgVasylyuk
50
65 kgSolomennikov
55
72 kgJovanović
56
60 kgFlaksis
57
79 kgPrevar
59
64 kgVasilyev
68
70 kgTsatevich
94
64 kgBoev
97
74 kgShpilevsky
101
78 kg
Weight (KG) →
Result →
82
58
2
101
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JANORSCHKE Grischa | 78 |
| 4 | BĒCIS Armands | 82 |
| 6 | SEREBRYAKOV Alexander | 70 |
| 8 | TLEUBAYEV Ruslan | 70 |
| 21 | NIKOLAEV Sergey | 66 |
| 26 | SCHRÖDER Björn | 64 |
| 29 | STEVIĆ Ivan | 66 |
| 34 | FIRSANOV Sergey | 58 |
| 41 | KOCHETKOV Pavel | 70 |
| 47 | TOPCHANYUK Artem | 65 |
| 50 | VASYLYUK Andriy | 65 |
| 55 | SOLOMENNIKOV Andrei | 72 |
| 56 | JOVANOVIĆ Nebojša | 60 |
| 57 | FLAKSIS Andžs | 79 |
| 59 | PREVAR Oleksandr | 64 |
| 68 | VASILYEV Maksym | 70 |
| 94 | TSATEVICH Alexey | 64 |
| 97 | BOEV Igor | 74 |
| 101 | SHPILEVSKY Boris | 78 |