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 * weight + 92
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Sajnok
1
75 kgRajović
3
74 kgHenn
4
64 kgRüegg
7
66 kgJakala
8
69 kgKuzmin
10
66 kgPer
12
68 kgTsoy
13
73 kgJarc
14
75 kgAregger
21
70 kgSzóstka
23
63 kgJagiela
24
64 kgŠtibingr
28
62 kgWojtanek
31
61 kgLašinis
34
69 kgAniołkowski
37
68 kgJatczak
38
60 kgMurias
39
65 kgStaniszewski
41
77 kgPustuła
51
69 kgKrupa
58
63 kg
1
75 kgRajović
3
74 kgHenn
4
64 kgRüegg
7
66 kgJakala
8
69 kgKuzmin
10
66 kgPer
12
68 kgTsoy
13
73 kgJarc
14
75 kgAregger
21
70 kgSzóstka
23
63 kgJagiela
24
64 kgŠtibingr
28
62 kgWojtanek
31
61 kgLašinis
34
69 kgAniołkowski
37
68 kgJatczak
38
60 kgMurias
39
65 kgStaniszewski
41
77 kgPustuła
51
69 kgKrupa
58
63 kg
Weight (KG) →
Result →
77
60
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAJNOK Szymon | 75 |
| 3 | RAJOVIĆ Dušan | 74 |
| 4 | HENN Luca | 64 |
| 7 | RÜEGG Lukas | 66 |
| 8 | JAKALA Jakub | 69 |
| 10 | KUZMIN Anton | 66 |
| 12 | PER Gorazd | 68 |
| 13 | TSOY Vladimir | 73 |
| 14 | JARC Aljaž | 75 |
| 21 | AREGGER Marcel | 70 |
| 23 | SZÓSTKA Paweł | 63 |
| 24 | JAGIELA Adam | 64 |
| 28 | ŠTIBINGR Matěj | 62 |
| 31 | WOJTANEK Bartlomiej | 61 |
| 34 | LAŠINIS Venantas | 69 |
| 37 | ANIOŁKOWSKI Stanisław | 68 |
| 38 | JATCZAK Artur | 60 |
| 39 | MURIAS Jakub | 65 |
| 41 | STANISZEWSKI Daniel | 77 |
| 51 | PUSTUŁA Michał | 69 |
| 58 | KRUPA Adrian | 63 |