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 * weight - 34
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Jelloul
6
58 kgZaballa
8
66 kgBouglas
10
71 kgBichlmann
14
72 kgHasnaoui
15
80 kgPedersen
26
62 kgLagab
27
63 kgde la Fuente
33
67 kgOrr
36
74 kgSchäfer
37
66 kgChaabane
46
70 kgChtioui
49
82 kgKal
50
72 kgMetlushenko
51
82 kgBelgasem
55
68 kgSchumacher
59
71 kgSkujiņš
63
70 kg
6
58 kgZaballa
8
66 kgBouglas
10
71 kgBichlmann
14
72 kgHasnaoui
15
80 kgPedersen
26
62 kgLagab
27
63 kgde la Fuente
33
67 kgOrr
36
74 kgSchäfer
37
66 kgChaabane
46
70 kgChtioui
49
82 kgKal
50
72 kgMetlushenko
51
82 kgBelgasem
55
68 kgSchumacher
59
71 kgSkujiņš
63
70 kg
Weight (KG) →
Result →
82
58
6
63
# | Rider | Weight (KG) |
---|---|---|
6 | JELLOUL Adil | 58 |
8 | ZABALLA Constantino | 66 |
10 | BOUGLAS Georgios | 71 |
14 | BICHLMANN Daniel | 72 |
15 | HASNAOUI Maher | 80 |
26 | PEDERSEN Martin | 62 |
27 | LAGAB Azzedine | 63 |
33 | DE LA FUENTE David | 67 |
36 | ORR Robert | 74 |
37 | SCHÄFER Timo | 66 |
46 | CHAABANE Hichem | 70 |
49 | CHTIOUI Rafaâ | 82 |
50 | KAL Miraç | 72 |
51 | METLUSHENKO Yuri | 82 |
55 | BELGASEM Ahmed Youssef | 68 |
59 | SCHUMACHER Stefan | 71 |
63 | SKUJIŅŠ Toms | 70 |