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 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Juul-Jensen
1
73 kgDillier
2
75 kgMas
5
69 kgKoretzky
7
66 kgBol
8
71 kgArchbold
9
79 kgLechuga
10
67 kgPhinney
11
82 kgPolnický
13
68 kgAntunes
14
58 kgSummerhill
16
70 kgLourenço
24
62 kgOliveira
26
67 kgAfonso
27
56 kgCambianica
70
64 kgAregger
72
70 kgHasnaoui
89
80 kgThièry
91
67 kg
1
73 kgDillier
2
75 kgMas
5
69 kgKoretzky
7
66 kgBol
8
71 kgArchbold
9
79 kgLechuga
10
67 kgPhinney
11
82 kgPolnický
13
68 kgAntunes
14
58 kgSummerhill
16
70 kgLourenço
24
62 kgOliveira
26
67 kgAfonso
27
56 kgCambianica
70
64 kgAregger
72
70 kgHasnaoui
89
80 kgThièry
91
67 kg
Weight (KG) →
Result →
82
56
1
91
# | Rider | Weight (KG) |
---|---|---|
1 | JUUL-JENSEN Christopher | 73 |
2 | DILLIER Silvan | 75 |
5 | MAS Lluís | 69 |
7 | KORETZKY Clément | 66 |
8 | BOL Jetse | 71 |
9 | ARCHBOLD Shane | 79 |
10 | LECHUGA Pablo | 67 |
11 | PHINNEY Taylor | 82 |
13 | POLNICKÝ Jiří | 68 |
14 | ANTUNES Amaro | 58 |
16 | SUMMERHILL Daniel | 70 |
24 | LOURENÇO Guilherme | 62 |
26 | OLIVEIRA Nelson | 67 |
27 | AFONSO Luis | 56 |
70 | CAMBIANICA Enea | 64 |
72 | AREGGER Marcel | 70 |
89 | HASNAOUI Maher | 80 |
91 | THIÈRY Cyrille | 67 |