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 = 0.9 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Kudra
7
68 kgKapitonov
8
73 kgOlizarenko
9
72 kgSchur
10
73 kgZieliński
13
80 kgGeorgiev Demirev
16
72 kgCosma
26
82 kgAl Dahab
31
64 kgFornalczyk
37
77 kgSmolík
38
73 kgMegyerdi
44
65 kgKotev
46
82 kgAndreoli
48
73 kgHonkanen
56
78 kgHautalahti
57
75 kgLevačić
58
77 kgBilić
65
76 kg
7
68 kgKapitonov
8
73 kgOlizarenko
9
72 kgSchur
10
73 kgZieliński
13
80 kgGeorgiev Demirev
16
72 kgCosma
26
82 kgAl Dahab
31
64 kgFornalczyk
37
77 kgSmolík
38
73 kgMegyerdi
44
65 kgKotev
46
82 kgAndreoli
48
73 kgHonkanen
56
78 kgHautalahti
57
75 kgLevačić
58
77 kgBilić
65
76 kg
Weight (KG) →
Result →
82
64
7
65
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | KUDRA Jan | 68 |
| 8 | KAPITONOV Viktor | 73 |
| 9 | OLIZARENKO Anatoly | 72 |
| 10 | SCHUR Gustav-Adolf | 73 |
| 13 | ZIELIŃSKI Rajmund | 80 |
| 16 | GEORGIEV DEMIREV Stoyan | 72 |
| 26 | COSMA Ion | 82 |
| 31 | AL DAHAB Tarek Abou | 64 |
| 37 | FORNALCZYK Bogusław | 77 |
| 38 | SMOLÍK Jan | 73 |
| 44 | MEGYERDI Antal | 65 |
| 46 | KOTEV Dimitar | 82 |
| 48 | ANDREOLI Severino | 73 |
| 56 | HONKANEN Raimo | 78 |
| 57 | HAUTALAHTI Unto | 75 |
| 58 | LEVAČIĆ Ivan | 77 |
| 65 | BILIĆ Cvitko | 76 |