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 = -0.7 * weight + 79
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Juul-Jensen
1
73 kgBol
2
71 kgMas
4
69 kgPhinney
5
82 kgArchbold
7
79 kgDillier
8
75 kgTorres
9
70 kgAntunes
12
58 kgLechuga
14
67 kgSummerhill
16
70 kgOliveira
17
67 kgKoretzky
21
66 kgPolnický
40
68 kgLourenço
48
62 kgAfonso
60
56 kgThièry
67
67 kgCambianica
76
64 kgAregger
86
70 kgHasnaoui
104
80 kg
1
73 kgBol
2
71 kgMas
4
69 kgPhinney
5
82 kgArchbold
7
79 kgDillier
8
75 kgTorres
9
70 kgAntunes
12
58 kgLechuga
14
67 kgSummerhill
16
70 kgOliveira
17
67 kgKoretzky
21
66 kgPolnický
40
68 kgLourenço
48
62 kgAfonso
60
56 kgThièry
67
67 kgCambianica
76
64 kgAregger
86
70 kgHasnaoui
104
80 kg
Weight (KG) →
Result →
82
56
1
104
# | Rider | Weight (KG) |
---|---|---|
1 | JUUL-JENSEN Christopher | 73 |
2 | BOL Jetse | 71 |
4 | MAS Lluís | 69 |
5 | PHINNEY Taylor | 82 |
7 | ARCHBOLD Shane | 79 |
8 | DILLIER Silvan | 75 |
9 | TORRES Albert | 70 |
12 | ANTUNES Amaro | 58 |
14 | LECHUGA Pablo | 67 |
16 | SUMMERHILL Daniel | 70 |
17 | OLIVEIRA Nelson | 67 |
21 | KORETZKY Clément | 66 |
40 | POLNICKÝ Jiří | 68 |
48 | LOURENÇO Guilherme | 62 |
60 | AFONSO Luis | 56 |
67 | THIÈRY Cyrille | 67 |
76 | CAMBIANICA Enea | 64 |
86 | AREGGER Marcel | 70 |
104 | HASNAOUI Maher | 80 |