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 = 0.8 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Benetseder
1
65 kgPolnický
3
68 kgRaboň
4
74 kgTybor
6
72 kgSisr
8
72 kgBajc
9
65 kgČanecký
11
72 kgHník
13
57 kgTaferner
15
71 kgLiepiņš
17
67 kgGaebel
20
68 kgDvorsky
24
64 kgCervenka
26
70 kgStöhr
27
66 kgStöhr
31
72 kgKrotký
35
73 kgZahálka
36
73 kgPöll
44
60 kgKukrle
50
73 kgSchoffmann
59
67 kgKulhavy
63
77 kgBaška
64
74 kgStević
72
66 kg
1
65 kgPolnický
3
68 kgRaboň
4
74 kgTybor
6
72 kgSisr
8
72 kgBajc
9
65 kgČanecký
11
72 kgHník
13
57 kgTaferner
15
71 kgLiepiņš
17
67 kgGaebel
20
68 kgDvorsky
24
64 kgCervenka
26
70 kgStöhr
27
66 kgStöhr
31
72 kgKrotký
35
73 kgZahálka
36
73 kgPöll
44
60 kgKukrle
50
73 kgSchoffmann
59
67 kgKulhavy
63
77 kgBaška
64
74 kgStević
72
66 kg
Weight (KG) →
Result →
77
57
1
72
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENETSEDER Josef | 65 |
| 3 | POLNICKÝ Jiří | 68 |
| 4 | RABOŇ František | 74 |
| 6 | TYBOR Patrik | 72 |
| 8 | SISR František | 72 |
| 9 | BAJC Andi | 65 |
| 11 | ČANECKÝ Marek | 72 |
| 13 | HNÍK Karel | 57 |
| 15 | TAFERNER Michael | 71 |
| 17 | LIEPIŅŠ Emīls | 67 |
| 20 | GAEBEL Stefan | 68 |
| 24 | DVORSKY David | 64 |
| 26 | CERVENKA Martin | 70 |
| 27 | STÖHR Pavel | 66 |
| 31 | STÖHR Ján | 72 |
| 35 | KROTKÝ Rostislav | 73 |
| 36 | ZAHÁLKA Matěj | 73 |
| 44 | PÖLL Stefan | 60 |
| 50 | KUKRLE Michael | 73 |
| 59 | SCHOFFMANN Martin | 67 |
| 63 | KULHAVY Jaroslav | 77 |
| 64 | BAŠKA Erik | 74 |
| 72 | STEVIĆ Ivan | 66 |