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 = 2.5 * weight - 132
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Abakoumov
1
68 kgRiška
5
73 kgRoberts
6
71 kgMuravyev
10
75 kgValach
15
75 kgMcLeod
20
66 kgWillems
24
67 kgNagy
25
52 kgBenčík
31
73 kgLarsson
32
77 kgRasch
35
72 kgKaggestad
36
66 kgTamouridis
81
70 kgClerc
84
71 kgCadamuro
85
78 kgBroniš
91
74 kgAug
97
83 kgDavis
98
73 kgMcGrory
104
73 kgHrazdira
116
77 kg
1
68 kgRiška
5
73 kgRoberts
6
71 kgMuravyev
10
75 kgValach
15
75 kgMcLeod
20
66 kgWillems
24
67 kgNagy
25
52 kgBenčík
31
73 kgLarsson
32
77 kgRasch
35
72 kgKaggestad
36
66 kgTamouridis
81
70 kgClerc
84
71 kgCadamuro
85
78 kgBroniš
91
74 kgAug
97
83 kgDavis
98
73 kgMcGrory
104
73 kgHrazdira
116
77 kg
Weight (KG) →
Result →
83
52
1
116
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABAKOUMOV Igor | 68 |
| 5 | RIŠKA Martin | 73 |
| 6 | ROBERTS Luke | 71 |
| 10 | MURAVYEV Dmitriy | 75 |
| 15 | VALACH Ján | 75 |
| 20 | MCLEOD Ian | 66 |
| 24 | WILLEMS Frederik | 67 |
| 25 | NAGY Robert | 52 |
| 31 | BENČÍK Petr | 73 |
| 32 | LARSSON Gustav Erik | 77 |
| 35 | RASCH Gabriel | 72 |
| 36 | KAGGESTAD Mads | 66 |
| 81 | TAMOURIDIS Ioannis | 70 |
| 84 | CLERC Aurélien | 71 |
| 85 | CADAMURO Simone | 78 |
| 91 | BRONIŠ Roman | 74 |
| 97 | AUG Andrus | 83 |
| 98 | DAVIS Allan | 73 |
| 104 | MCGRORY Scott | 73 |
| 116 | HRAZDIRA Michal | 77 |