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 = -1.1 * weight + 107
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
van Zandbeek
1
72 kgJarc
5
87 kgSagan
7
65 kgPapok
8
76 kgKittel
9
82 kgGuldhammer
10
66 kgKreder
11
70 kgJaniszewski
15
65 kgGallopin
17
69 kgCharucki
18
64 kgČanecký
23
72 kgKump
32
68 kgMahďar
38
61 kgHesselbarth
44
65 kgvan Garderen
48
72 kgSaggiorato
53
58 kgBol
54
71 kgLourenço
64
62 kgZangerle
77
63 kgPaiani
85
77 kg
1
72 kgJarc
5
87 kgSagan
7
65 kgPapok
8
76 kgKittel
9
82 kgGuldhammer
10
66 kgKreder
11
70 kgJaniszewski
15
65 kgGallopin
17
69 kgCharucki
18
64 kgČanecký
23
72 kgKump
32
68 kgMahďar
38
61 kgHesselbarth
44
65 kgvan Garderen
48
72 kgSaggiorato
53
58 kgBol
54
71 kgLourenço
64
62 kgZangerle
77
63 kgPaiani
85
77 kg
Weight (KG) →
Result →
87
58
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN ZANDBEEK Ronan | 72 |
| 5 | JARC Blaž | 87 |
| 7 | SAGAN Juraj | 65 |
| 8 | PAPOK Siarhei | 76 |
| 9 | KITTEL Marcel | 82 |
| 10 | GULDHAMMER Rasmus | 66 |
| 11 | KREDER Raymond | 70 |
| 15 | JANISZEWSKI Sylwester | 65 |
| 17 | GALLOPIN Tony | 69 |
| 18 | CHARUCKI Paweł | 64 |
| 23 | ČANECKÝ Marek | 72 |
| 32 | KUMP Marko | 68 |
| 38 | MAHĎAR Martin | 61 |
| 44 | HESSELBARTH David | 65 |
| 48 | VAN GARDEREN Tejay | 72 |
| 53 | SAGGIORATO Mirco | 58 |
| 54 | BOL Jetse | 71 |
| 64 | LOURENÇO Guilherme | 62 |
| 77 | ZANGERLE Joel | 63 |
| 85 | PAIANI Jean-Lou | 77 |