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 = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Lutsenko
1
74 kgAndriato
2
67 kgTleubayev
3
70 kgFerrari
4
73 kgWalscheid
5
90 kgJones
6
81 kgWang
7
70 kgKragh Andersen
8
72 kgZurlo
12
70 kgPasqualon
13
75 kgMohorič
14
71 kgMetlushenko
15
82 kgPonzi
17
63 kgHenttala
18
73 kgPage
19
64 kgZurita
20
67 kgPeron
22
70 kgKamyshev
24
67 kgBrown
26
76 kgAffonso
27
63 kg
1
74 kgAndriato
2
67 kgTleubayev
3
70 kgFerrari
4
73 kgWalscheid
5
90 kgJones
6
81 kgWang
7
70 kgKragh Andersen
8
72 kgZurlo
12
70 kgPasqualon
13
75 kgMohorič
14
71 kgMetlushenko
15
82 kgPonzi
17
63 kgHenttala
18
73 kgPage
19
64 kgZurita
20
67 kgPeron
22
70 kgKamyshev
24
67 kgBrown
26
76 kgAffonso
27
63 kg
Weight (KG) →
Result →
90
63
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUTSENKO Alexey | 74 |
| 2 | ANDRIATO Rafael | 67 |
| 3 | TLEUBAYEV Ruslan | 70 |
| 4 | FERRARI Roberto | 73 |
| 5 | WALSCHEID Max | 90 |
| 6 | JONES Brenton | 81 |
| 7 | WANG Meiyin | 70 |
| 8 | KRAGH ANDERSEN Asbjørn | 72 |
| 12 | ZURLO Federico | 70 |
| 13 | PASQUALON Andrea | 75 |
| 14 | MOHORIČ Matej | 71 |
| 15 | METLUSHENKO Yuri | 82 |
| 17 | PONZI Simone | 63 |
| 18 | HENTTALA Joonas | 73 |
| 19 | PAGE Dylan | 64 |
| 20 | ZURITA Francesc | 67 |
| 22 | PERON Andrea | 70 |
| 24 | KAMYSHEV Arman | 67 |
| 26 | BROWN Graeme Allen | 76 |
| 27 | AFFONSO Murilo | 63 |