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 + 29
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Archbold
1
79 kgAntunes
4
58 kgMas
7
69 kgPhinney
8
82 kgPolnický
9
68 kgKoretzky
10
66 kgSummerhill
11
70 kgLechuga
14
67 kgBol
15
71 kgDillier
18
75 kgAfonso
24
56 kgOliveira
25
67 kgJuul-Jensen
26
73 kgLourenço
34
62 kgCambianica
72
64 kgAregger
80
70 kgHasnaoui
81
80 kgThièry
98
67 kg
1
79 kgAntunes
4
58 kgMas
7
69 kgPhinney
8
82 kgPolnický
9
68 kgKoretzky
10
66 kgSummerhill
11
70 kgLechuga
14
67 kgBol
15
71 kgDillier
18
75 kgAfonso
24
56 kgOliveira
25
67 kgJuul-Jensen
26
73 kgLourenço
34
62 kgCambianica
72
64 kgAregger
80
70 kgHasnaoui
81
80 kgThièry
98
67 kg
Weight (KG) →
Result →
82
56
1
98
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARCHBOLD Shane | 79 |
| 4 | ANTUNES Amaro | 58 |
| 7 | MAS Lluís | 69 |
| 8 | PHINNEY Taylor | 82 |
| 9 | POLNICKÝ Jiří | 68 |
| 10 | KORETZKY Clément | 66 |
| 11 | SUMMERHILL Daniel | 70 |
| 14 | LECHUGA Pablo | 67 |
| 15 | BOL Jetse | 71 |
| 18 | DILLIER Silvan | 75 |
| 24 | AFONSO Luis | 56 |
| 25 | OLIVEIRA Nelson | 67 |
| 26 | JUUL-JENSEN Christopher | 73 |
| 34 | LOURENÇO Guilherme | 62 |
| 72 | CAMBIANICA Enea | 64 |
| 80 | AREGGER Marcel | 70 |
| 81 | HASNAOUI Maher | 80 |
| 98 | THIÈRY Cyrille | 67 |