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 = -1.1 * weight + 94
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Schröder
1
64 kgVasilyev
4
70 kgJanorschke
6
78 kgVasylyuk
7
65 kgTleubayev
8
70 kgKochetkov
9
70 kgZakharov
11
70 kgFirsanov
13
58 kgShpilevsky
17
78 kgNikolaev
18
66 kgGrigorev
21
73 kgTopchanyuk
37
65 kgNovikov
40
77 kgPrevar
45
64 kgKozhatayev
53
62 kgJovanović
65
60 kg
1
64 kgVasilyev
4
70 kgJanorschke
6
78 kgVasylyuk
7
65 kgTleubayev
8
70 kgKochetkov
9
70 kgZakharov
11
70 kgFirsanov
13
58 kgShpilevsky
17
78 kgNikolaev
18
66 kgGrigorev
21
73 kgTopchanyuk
37
65 kgNovikov
40
77 kgPrevar
45
64 kgKozhatayev
53
62 kgJovanović
65
60 kg
Weight (KG) →
Result →
78
58
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHRÖDER Björn | 64 |
| 4 | VASILYEV Maksym | 70 |
| 6 | JANORSCHKE Grischa | 78 |
| 7 | VASYLYUK Andriy | 65 |
| 8 | TLEUBAYEV Ruslan | 70 |
| 9 | KOCHETKOV Pavel | 70 |
| 11 | ZAKHAROV Artyom | 70 |
| 13 | FIRSANOV Sergey | 58 |
| 17 | SHPILEVSKY Boris | 78 |
| 18 | NIKOLAEV Sergey | 66 |
| 21 | GRIGOREV Aleksandr | 73 |
| 37 | TOPCHANYUK Artem | 65 |
| 40 | NOVIKOV Nikita | 77 |
| 45 | PREVAR Oleksandr | 64 |
| 53 | KOZHATAYEV Bakhtiyar | 62 |
| 65 | JOVANOVIĆ Nebojša | 60 |