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 = 2.8 * weight - 146
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Stortoni
3
59 kgBrambilla
5
57 kgVrečer
10
68 kgBisolti
12
58 kgKusztor
15
61 kgBole
16
69 kgNissen
18
65 kgBandiera
31
68 kgDe Marchi
33
65 kgDmitriyev
34
69 kgRicci Bitti
40
60 kgFinetto
42
62 kgCraven
45
75 kgSano
47
76 kgZeits
51
73 kgMasson
60
68 kgRenev
79
68 kgNakajima
94
64 kgFantini
96
68 kgBlain
97
82 kgStewart
109
72 kg
3
59 kgBrambilla
5
57 kgVrečer
10
68 kgBisolti
12
58 kgKusztor
15
61 kgBole
16
69 kgNissen
18
65 kgBandiera
31
68 kgDe Marchi
33
65 kgDmitriyev
34
69 kgRicci Bitti
40
60 kgFinetto
42
62 kgCraven
45
75 kgSano
47
76 kgZeits
51
73 kgMasson
60
68 kgRenev
79
68 kgNakajima
94
64 kgFantini
96
68 kgBlain
97
82 kgStewart
109
72 kg
Weight (KG) →
Result →
82
57
3
109
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | STORTONI Simone | 59 |
| 5 | BRAMBILLA Gianluca | 57 |
| 10 | VREČER Robert | 68 |
| 12 | BISOLTI Alessandro | 58 |
| 15 | KUSZTOR Péter | 61 |
| 16 | BOLE Grega | 69 |
| 18 | NISSEN Søren | 65 |
| 31 | BANDIERA Marco | 68 |
| 33 | DE MARCHI Alessandro | 65 |
| 34 | DMITRIYEV Valeriy | 69 |
| 40 | RICCI BITTI Davide | 60 |
| 42 | FINETTO Mauro | 62 |
| 45 | CRAVEN Dan | 75 |
| 47 | SANO Junya | 76 |
| 51 | ZEITS Andrey | 73 |
| 60 | MASSON Christophe | 68 |
| 79 | RENEV Sergey | 68 |
| 94 | NAKAJIMA Yasuharu | 64 |
| 96 | FANTINI Alessandro | 68 |
| 97 | BLAIN Alexandre | 82 |
| 109 | STEWART Jackson | 72 |