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 = 1.5 * weight - 61
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Silin
2
61 kgUlissi
3
63 kgĐurasek
6
56 kgMajka
8
62 kgBrambilla
13
57 kgMalori
14
68 kgPagani
15
68 kgKennaugh
17
66 kgBusato
23
67 kgBongiorno
25
56 kgCattaneo
29
67 kgTsatevich
31
64 kgRowe
34
72 kgMarycz
44
69 kgHoward
46
72 kgKochetkov
48
70 kgMcEvoy
57
67 kgGawroński
58
73 kgOwsian
59
66 kgBarbin
71
60 kgAverin
81
74 kgArredondo
84
58 kg
2
61 kgUlissi
3
63 kgĐurasek
6
56 kgMajka
8
62 kgBrambilla
13
57 kgMalori
14
68 kgPagani
15
68 kgKennaugh
17
66 kgBusato
23
67 kgBongiorno
25
56 kgCattaneo
29
67 kgTsatevich
31
64 kgRowe
34
72 kgMarycz
44
69 kgHoward
46
72 kgKochetkov
48
70 kgMcEvoy
57
67 kgGawroński
58
73 kgOwsian
59
66 kgBarbin
71
60 kgAverin
81
74 kgArredondo
84
58 kg
Weight (KG) →
Result →
74
56
2
84
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SILIN Egor | 61 |
| 3 | ULISSI Diego | 63 |
| 6 | ĐURASEK Kristijan | 56 |
| 8 | MAJKA Rafał | 62 |
| 13 | BRAMBILLA Gianluca | 57 |
| 14 | MALORI Adriano | 68 |
| 15 | PAGANI Angelo | 68 |
| 17 | KENNAUGH Peter | 66 |
| 23 | BUSATO Matteo | 67 |
| 25 | BONGIORNO Francesco Manuel | 56 |
| 29 | CATTANEO Mattia | 67 |
| 31 | TSATEVICH Alexey | 64 |
| 34 | ROWE Luke | 72 |
| 44 | MARYCZ Jarosław | 69 |
| 46 | HOWARD Leigh | 72 |
| 48 | KOCHETKOV Pavel | 70 |
| 57 | MCEVOY Jonathan | 67 |
| 58 | GAWROŃSKI Piotr | 73 |
| 59 | OWSIAN Łukasz | 66 |
| 71 | BARBIN Enrico | 60 |
| 81 | AVERIN Maksym | 74 |
| 84 | ARREDONDO Julián David | 58 |