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 = 0.4 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Jurčo
1
69 kgČerný
3
75 kgPolanc
4
62 kgPibernik
5
60 kgKochetkov
7
70 kgKadlec
8
70 kgJelloul
9
58 kgPaďour
10
59 kgHaddi
11
63 kgHirt
13
62 kgBoev
14
74 kgKoch
20
69 kgMandri
24
66 kgBaranowski
31
68 kgMahďar
35
61 kgPauwels
36
60 kgLammertink
37
68 kgKuznetsov
38
70 kgVakoč
39
68 kgCamaño
40
68 kgDempster
41
77 kgŠtimulak
44
64 kgAnderson
46
68 kg
1
69 kgČerný
3
75 kgPolanc
4
62 kgPibernik
5
60 kgKochetkov
7
70 kgKadlec
8
70 kgJelloul
9
58 kgPaďour
10
59 kgHaddi
11
63 kgHirt
13
62 kgBoev
14
74 kgKoch
20
69 kgMandri
24
66 kgBaranowski
31
68 kgMahďar
35
61 kgPauwels
36
60 kgLammertink
37
68 kgKuznetsov
38
70 kgVakoč
39
68 kgCamaño
40
68 kgDempster
41
77 kgŠtimulak
44
64 kgAnderson
46
68 kg
Weight (KG) →
Result →
77
58
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JURČO Matej | 69 |
| 3 | ČERNÝ Josef | 75 |
| 4 | POLANC Jan | 62 |
| 5 | PIBERNIK Luka | 60 |
| 7 | KOCHETKOV Pavel | 70 |
| 8 | KADLEC Milan | 70 |
| 9 | JELLOUL Adil | 58 |
| 10 | PAĎOUR František | 59 |
| 11 | HADDI Soufiane | 63 |
| 13 | HIRT Jan | 62 |
| 14 | BOEV Igor | 74 |
| 20 | KOCH Michel | 69 |
| 24 | MANDRI René | 66 |
| 31 | BARANOWSKI Dariusz | 68 |
| 35 | MAHĎAR Martin | 61 |
| 36 | PAUWELS Kevin | 60 |
| 37 | LAMMERTINK Steven | 68 |
| 38 | KUZNETSOV Viacheslav | 70 |
| 39 | VAKOČ Petr | 68 |
| 40 | CAMAÑO Iker | 68 |
| 41 | DEMPSTER Zak | 77 |
| 44 | ŠTIMULAK Klemen | 64 |
| 46 | ANDERSON Jack | 68 |