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 = -1.2 * weight + 97
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Solomennikov
1
72 kgBoev
2
74 kgKlimov
4
69 kgZubov
5
72 kgKrivtsov
6
72 kgLagutin
8
68 kgMaikin
12
68 kgKvachuk
13
68 kgNych
14
74 kgKustadinchev
15
66 kgShushemoin
17
62 kgBalykin
21
68 kgKatyrin
22
65 kgPrevar
23
64 kgTamouridis
24
70 kgRiabushenko
26
61 kgBudyak
29
53 kgMamykin
32
62 kgPruus
38
71 kgZemlyakov
40
70 kgJabrayilov
41
52 kg
1
72 kgBoev
2
74 kgKlimov
4
69 kgZubov
5
72 kgKrivtsov
6
72 kgLagutin
8
68 kgMaikin
12
68 kgKvachuk
13
68 kgNych
14
74 kgKustadinchev
15
66 kgShushemoin
17
62 kgBalykin
21
68 kgKatyrin
22
65 kgPrevar
23
64 kgTamouridis
24
70 kgRiabushenko
26
61 kgBudyak
29
53 kgMamykin
32
62 kgPruus
38
71 kgZemlyakov
40
70 kgJabrayilov
41
52 kg
Weight (KG) →
Result →
74
52
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLOMENNIKOV Andrei | 72 |
| 2 | BOEV Igor | 74 |
| 4 | KLIMOV Sergey | 69 |
| 5 | ZUBOV Matvey | 72 |
| 6 | KRIVTSOV Dmytro | 72 |
| 8 | LAGUTIN Sergey | 68 |
| 12 | MAIKIN Roman | 68 |
| 13 | KVACHUK Oleksandr | 68 |
| 14 | NYCH Artem | 74 |
| 15 | KUSTADINCHEV Roman | 66 |
| 17 | SHUSHEMOIN Alexandr | 62 |
| 21 | BALYKIN Ivan | 68 |
| 22 | KATYRIN Roman | 65 |
| 23 | PREVAR Oleksandr | 64 |
| 24 | TAMOURIDIS Ioannis | 70 |
| 26 | RIABUSHENKO Alexandr | 61 |
| 29 | BUDYAK Anatoliy | 53 |
| 32 | MAMYKIN Matvey | 62 |
| 38 | PRUUS Peeter | 71 |
| 40 | ZEMLYAKOV Oleg | 70 |
| 41 | JABRAYILOV Samir | 52 |