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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
van den Berg
1
72 kgOtruba
3
75 kgRöber
4
68 kgTasset
5
63 kgde Jong
6
72 kgMaciejuk
8
78 kgIserbyt
9
55 kgPaquot
10
70 kgLeyder
11
69 kgvan der Horst
12
62 kgKamp
13
69 kgPestiaux
14
58 kgFontaine
16
66 kgKoster
17
65 kgKierner
21
79 kgvan Ekeren
22
70 kgMangertseder
25
69 kgHeiderscheid
28
73 kgRoberts
30
69 kg
1
72 kgOtruba
3
75 kgRöber
4
68 kgTasset
5
63 kgde Jong
6
72 kgMaciejuk
8
78 kgIserbyt
9
55 kgPaquot
10
70 kgLeyder
11
69 kgvan der Horst
12
62 kgKamp
13
69 kgPestiaux
14
58 kgFontaine
16
66 kgKoster
17
65 kgKierner
21
79 kgvan Ekeren
22
70 kgMangertseder
25
69 kgHeiderscheid
28
73 kgRoberts
30
69 kg
Weight (KG) →
Result →
79
55
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DEN BERG Lars | 72 |
| 3 | OTRUBA Jakub | 75 |
| 4 | RÖBER Dominik | 68 |
| 5 | TASSET Marvin | 63 |
| 6 | DE JONG Timo | 72 |
| 8 | MACIEJUK Filip | 78 |
| 9 | ISERBYT Eli | 55 |
| 10 | PAQUOT Tom | 70 |
| 11 | LEYDER Pit | 69 |
| 12 | VAN DER HORST Dennis | 62 |
| 13 | KAMP Ryan | 69 |
| 14 | PESTIAUX Yann | 58 |
| 16 | FONTAINE Emerson | 66 |
| 17 | KOSTER Adne | 65 |
| 21 | KIERNER Florian | 79 |
| 22 | VAN EKEREN Niels | 70 |
| 25 | MANGERTSEDER Matthias | 69 |
| 28 | HEIDERSCHEID Colin | 73 |
| 30 | ROBERTS William | 69 |