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 * weight + 35
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Firsanov
1
58 kgStević
2
66 kgJanorschke
3
78 kgSolomennikov
4
72 kgSchröder
6
64 kgSerebryakov
7
70 kgVasylyuk
10
65 kgBēcis
17
82 kgKochetkov
25
70 kgTopchanyuk
26
65 kgFlaksis
29
79 kgTleubayev
42
70 kgNikolaev
46
66 kgPrevar
64
64 kgVasilyev
65
70 kgJovanović
74
60 kgShpilevsky
84
78 kgTsatevich
85
64 kgBoev
90
74 kg
1
58 kgStević
2
66 kgJanorschke
3
78 kgSolomennikov
4
72 kgSchröder
6
64 kgSerebryakov
7
70 kgVasylyuk
10
65 kgBēcis
17
82 kgKochetkov
25
70 kgTopchanyuk
26
65 kgFlaksis
29
79 kgTleubayev
42
70 kgNikolaev
46
66 kgPrevar
64
64 kgVasilyev
65
70 kgJovanović
74
60 kgShpilevsky
84
78 kgTsatevich
85
64 kgBoev
90
74 kg
Weight (KG) →
Result →
82
58
1
90
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 2 | STEVIĆ Ivan | 66 |
| 3 | JANORSCHKE Grischa | 78 |
| 4 | SOLOMENNIKOV Andrei | 72 |
| 6 | SCHRÖDER Björn | 64 |
| 7 | SEREBRYAKOV Alexander | 70 |
| 10 | VASYLYUK Andriy | 65 |
| 17 | BĒCIS Armands | 82 |
| 25 | KOCHETKOV Pavel | 70 |
| 26 | TOPCHANYUK Artem | 65 |
| 29 | FLAKSIS Andžs | 79 |
| 42 | TLEUBAYEV Ruslan | 70 |
| 46 | NIKOLAEV Sergey | 66 |
| 64 | PREVAR Oleksandr | 64 |
| 65 | VASILYEV Maksym | 70 |
| 74 | JOVANOVIĆ Nebojša | 60 |
| 84 | SHPILEVSKY Boris | 78 |
| 85 | TSATEVICH Alexey | 64 |
| 90 | BOEV Igor | 74 |