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 = 1.2 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Paďour
1
59 kgKochetkov
2
70 kgJelloul
4
58 kgPolanc
5
62 kgPibernik
7
60 kgHirt
9
62 kgKadlec
11
70 kgBaranowski
14
68 kgKoch
18
69 kgPauwels
21
60 kgČerný
23
75 kgCamaño
27
68 kgVakoč
28
68 kgŠtimulak
29
64 kgJurčo
31
69 kgHaddi
34
63 kgMandri
36
66 kgMahďar
37
61 kgLammertink
38
68 kgDempster
40
77 kgBoev
43
74 kgAnderson
45
68 kg
1
59 kgKochetkov
2
70 kgJelloul
4
58 kgPolanc
5
62 kgPibernik
7
60 kgHirt
9
62 kgKadlec
11
70 kgBaranowski
14
68 kgKoch
18
69 kgPauwels
21
60 kgČerný
23
75 kgCamaño
27
68 kgVakoč
28
68 kgŠtimulak
29
64 kgJurčo
31
69 kgHaddi
34
63 kgMandri
36
66 kgMahďar
37
61 kgLammertink
38
68 kgDempster
40
77 kgBoev
43
74 kgAnderson
45
68 kg
Weight (KG) →
Result →
77
58
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAĎOUR František | 59 |
| 2 | KOCHETKOV Pavel | 70 |
| 4 | JELLOUL Adil | 58 |
| 5 | POLANC Jan | 62 |
| 7 | PIBERNIK Luka | 60 |
| 9 | HIRT Jan | 62 |
| 11 | KADLEC Milan | 70 |
| 14 | BARANOWSKI Dariusz | 68 |
| 18 | KOCH Michel | 69 |
| 21 | PAUWELS Kevin | 60 |
| 23 | ČERNÝ Josef | 75 |
| 27 | CAMAÑO Iker | 68 |
| 28 | VAKOČ Petr | 68 |
| 29 | ŠTIMULAK Klemen | 64 |
| 31 | JURČO Matej | 69 |
| 34 | HADDI Soufiane | 63 |
| 36 | MANDRI René | 66 |
| 37 | MAHĎAR Martin | 61 |
| 38 | LAMMERTINK Steven | 68 |
| 40 | DEMPSTER Zak | 77 |
| 43 | BOEV Igor | 74 |
| 45 | ANDERSON Jack | 68 |