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 = 0.4 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Podlaski
9
68 kgPapok
11
76 kgPrevar
12
64 kgStachowiak
13
62 kgKomar
17
73 kgKasyanov
18
62 kgMorajko
20
65 kgKalojíros
23
68 kgVasylyuk
24
65 kgFlaksis
26
79 kgSchiewer
27
70 kgMarycz
28
69 kgLammertink
29
61 kgLatoń
30
76 kgBodnar
31
68 kgKlostergaard
33
69 kgJaniaczyk
35
68 kgKohut
36
65 kgTekliński
39
88 kg
9
68 kgPapok
11
76 kgPrevar
12
64 kgStachowiak
13
62 kgKomar
17
73 kgKasyanov
18
62 kgMorajko
20
65 kgKalojíros
23
68 kgVasylyuk
24
65 kgFlaksis
26
79 kgSchiewer
27
70 kgMarycz
28
69 kgLammertink
29
61 kgLatoń
30
76 kgBodnar
31
68 kgKlostergaard
33
69 kgJaniaczyk
35
68 kgKohut
36
65 kgTekliński
39
88 kg
Weight (KG) →
Result →
88
61
9
39
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | PODLASKI Michał | 68 |
| 11 | PAPOK Siarhei | 76 |
| 12 | PREVAR Oleksandr | 64 |
| 13 | STACHOWIAK Adam | 62 |
| 17 | KOMAR Mateusz | 73 |
| 18 | KASYANOV Oleksiy | 62 |
| 20 | MORAJKO Jacek | 65 |
| 23 | KALOJÍROS Tomáš | 68 |
| 24 | VASYLYUK Andriy | 65 |
| 26 | FLAKSIS Andžs | 79 |
| 27 | SCHIEWER Franz | 70 |
| 28 | MARYCZ Jarosław | 69 |
| 29 | LAMMERTINK Maurits | 61 |
| 30 | LATOŃ Eryk | 76 |
| 31 | BODNAR Łukasz | 68 |
| 33 | KLOSTERGAARD Kasper | 69 |
| 35 | JANIACZYK Błażej | 68 |
| 36 | KOHUT Sławomir | 65 |
| 39 | TEKLIńSKI Adrian | 88 |