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 = 1.3 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Štybar
2
68 kgFriedemann
3
75 kgPauwels
4
60 kgBroniš
13
74 kgHník
14
57 kgPetruš
15
58 kgKönig
16
62 kgJovanović
17
60 kgNagy
20
52 kgČanecký
21
72 kgStöhr
24
66 kgMamos
27
72 kgHirt
29
62 kgBenčík
30
73 kgKrotký
42
73 kgStöhr
57
72 kgMahďar
63
61 kgBaestaens
65
68 kgJanorschke
68
78 kgKaňkovský
71
83 kgSchulze
73
70 kg
2
68 kgFriedemann
3
75 kgPauwels
4
60 kgBroniš
13
74 kgHník
14
57 kgPetruš
15
58 kgKönig
16
62 kgJovanović
17
60 kgNagy
20
52 kgČanecký
21
72 kgStöhr
24
66 kgMamos
27
72 kgHirt
29
62 kgBenčík
30
73 kgKrotký
42
73 kgStöhr
57
72 kgMahďar
63
61 kgBaestaens
65
68 kgJanorschke
68
78 kgKaňkovský
71
83 kgSchulze
73
70 kg
Weight (KG) →
Result →
83
52
2
73
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ŠTYBAR Zdeněk | 68 |
| 3 | FRIEDEMANN Matthias | 75 |
| 4 | PAUWELS Kevin | 60 |
| 13 | BRONIŠ Roman | 74 |
| 14 | HNÍK Karel | 57 |
| 15 | PETRUŠ Lubomir | 58 |
| 16 | KÖNIG Leopold | 62 |
| 17 | JOVANOVIĆ Nebojša | 60 |
| 20 | NAGY Robert | 52 |
| 21 | ČANECKÝ Marek | 72 |
| 24 | STÖHR Pavel | 66 |
| 27 | MAMOS Philipp | 72 |
| 29 | HIRT Jan | 62 |
| 30 | BENČÍK Petr | 73 |
| 42 | KROTKÝ Rostislav | 73 |
| 57 | STÖHR Ján | 72 |
| 63 | MAHĎAR Martin | 61 |
| 65 | BAESTAENS Vincent | 68 |
| 68 | JANORSCHKE Grischa | 78 |
| 71 | KAŇKOVSKÝ Alois | 83 |
| 73 | SCHULZE André | 70 |