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 + 61
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Firsanov
1
58 kgStević
2
66 kgBēcis
3
82 kgSerebryakov
6
70 kgTsatevich
7
64 kgJanorschke
9
78 kgTleubayev
14
70 kgSchröder
19
64 kgNikolaev
22
66 kgSolomennikov
26
72 kgShpilevsky
29
78 kgVasylyuk
32
65 kgBoev
59
74 kgKochetkov
70
70 kgFlaksis
81
79 kgTopchanyuk
100
65 kgVasilyev
104
70 kgPrevar
114
64 kgForke
121
78 kgJovanović
122
60 kg
1
58 kgStević
2
66 kgBēcis
3
82 kgSerebryakov
6
70 kgTsatevich
7
64 kgJanorschke
9
78 kgTleubayev
14
70 kgSchröder
19
64 kgNikolaev
22
66 kgSolomennikov
26
72 kgShpilevsky
29
78 kgVasylyuk
32
65 kgBoev
59
74 kgKochetkov
70
70 kgFlaksis
81
79 kgTopchanyuk
100
65 kgVasilyev
104
70 kgPrevar
114
64 kgForke
121
78 kgJovanović
122
60 kg
Weight (KG) →
Result →
82
58
1
122
# | Rider | Weight (KG) |
---|---|---|
1 | FIRSANOV Sergey | 58 |
2 | STEVIĆ Ivan | 66 |
3 | BĒCIS Armands | 82 |
6 | SEREBRYAKOV Alexander | 70 |
7 | TSATEVICH Alexey | 64 |
9 | JANORSCHKE Grischa | 78 |
14 | TLEUBAYEV Ruslan | 70 |
19 | SCHRÖDER Björn | 64 |
22 | NIKOLAEV Sergey | 66 |
26 | SOLOMENNIKOV Andrei | 72 |
29 | SHPILEVSKY Boris | 78 |
32 | VASYLYUK Andriy | 65 |
59 | BOEV Igor | 74 |
70 | KOCHETKOV Pavel | 70 |
81 | FLAKSIS Andžs | 79 |
100 | TOPCHANYUK Artem | 65 |
104 | VASILYEV Maksym | 70 |
114 | PREVAR Oleksandr | 64 |
121 | FORKE Sebastian | 78 |
122 | JOVANOVIĆ Nebojša | 60 |