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 + 30
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Serebryakov
1
70 kgJanorschke
3
78 kgSchröder
4
64 kgShpilevsky
5
78 kgNikolaev
7
66 kgBēcis
9
82 kgTsatevich
10
64 kgStević
16
66 kgTleubayev
23
70 kgVasylyuk
26
65 kgFirsanov
34
58 kgSolomennikov
42
72 kgPrevar
48
64 kgKochetkov
56
70 kgFlaksis
71
79 kgVasilyev
77
70 kgTopchanyuk
90
65 kgJovanović
106
60 kgBoev
117
74 kgForke
127
78 kg
1
70 kgJanorschke
3
78 kgSchröder
4
64 kgShpilevsky
5
78 kgNikolaev
7
66 kgBēcis
9
82 kgTsatevich
10
64 kgStević
16
66 kgTleubayev
23
70 kgVasylyuk
26
65 kgFirsanov
34
58 kgSolomennikov
42
72 kgPrevar
48
64 kgKochetkov
56
70 kgFlaksis
71
79 kgVasilyev
77
70 kgTopchanyuk
90
65 kgJovanović
106
60 kgBoev
117
74 kgForke
127
78 kg
Weight (KG) →
Result →
82
58
1
127
# | Rider | Weight (KG) |
---|---|---|
1 | SEREBRYAKOV Alexander | 70 |
3 | JANORSCHKE Grischa | 78 |
4 | SCHRÖDER Björn | 64 |
5 | SHPILEVSKY Boris | 78 |
7 | NIKOLAEV Sergey | 66 |
9 | BĒCIS Armands | 82 |
10 | TSATEVICH Alexey | 64 |
16 | STEVIĆ Ivan | 66 |
23 | TLEUBAYEV Ruslan | 70 |
26 | VASYLYUK Andriy | 65 |
34 | FIRSANOV Sergey | 58 |
42 | SOLOMENNIKOV Andrei | 72 |
48 | PREVAR Oleksandr | 64 |
56 | KOCHETKOV Pavel | 70 |
71 | FLAKSIS Andžs | 79 |
77 | VASILYEV Maksym | 70 |
90 | TOPCHANYUK Artem | 65 |
106 | JOVANOVIĆ Nebojša | 60 |
117 | BOEV Igor | 74 |
127 | FORKE Sebastian | 78 |