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 = 0.5 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
van der Kooij
1
70 kgKessler
3
78 kgPessot
4
75 kgAniołkowski
5
68 kgMałecki
7
69 kgJerman
8
67 kgPogačar
10
66 kgKoch
11
68 kgTagliani
12
70 kgvan der Horst
13
62 kgFranz
15
62 kgDekker
19
80 kgBrożyna
21
71 kgRojus
24
83 kgBais
26
66 kgvan Sintmaartensdijk
27
77 kgLašinis
28
69 kgPawlak
29
81 kgNeuman
30
72 kgvan den Berg
37
72 kg
1
70 kgKessler
3
78 kgPessot
4
75 kgAniołkowski
5
68 kgMałecki
7
69 kgJerman
8
67 kgPogačar
10
66 kgKoch
11
68 kgTagliani
12
70 kgvan der Horst
13
62 kgFranz
15
62 kgDekker
19
80 kgBrożyna
21
71 kgRojus
24
83 kgBais
26
66 kgvan Sintmaartensdijk
27
77 kgLašinis
28
69 kgPawlak
29
81 kgNeuman
30
72 kgvan den Berg
37
72 kg
Weight (KG) →
Result →
83
62
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER KOOIJ Bas | 70 |
| 3 | KESSLER Robert | 78 |
| 4 | PESSOT Alessandro | 75 |
| 5 | ANIOŁKOWSKI Stanisław | 68 |
| 7 | MAŁECKI Kamil | 69 |
| 8 | JERMAN Žiga | 67 |
| 10 | POGAČAR Tadej | 66 |
| 11 | KOCH Christian | 68 |
| 12 | TAGLIANI Filippo | 70 |
| 13 | VAN DER HORST Dennis | 62 |
| 15 | FRANZ Marcel | 62 |
| 19 | DEKKER David | 80 |
| 21 | BROŻYNA Piotr | 71 |
| 24 | ROJUS Adomaitis | 83 |
| 26 | BAIS Mattia | 66 |
| 27 | VAN SINTMAARTENSDIJK Daan | 77 |
| 28 | LAŠINIS Venantas | 69 |
| 29 | PAWLAK Tobiasz | 81 |
| 30 | NEUMAN Dominik | 72 |
| 37 | VAN DEN BERG Lars | 72 |