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 + 9
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Pessot
1
75 kgMałecki
2
69 kgvan der Kooij
3
70 kgKessler
4
78 kgFranz
7
62 kgAniołkowski
9
68 kgDekker
12
80 kgBrożyna
14
71 kgvan der Horst
15
62 kgPogačar
16
66 kgRojus
17
83 kgvan Sintmaartensdijk
21
77 kgLašinis
22
69 kgJerman
23
67 kgNeuman
25
72 kgKoch
26
68 kgPawlak
27
81 kgTagliani
28
70 kgvan den Berg
33
72 kg
1
75 kgMałecki
2
69 kgvan der Kooij
3
70 kgKessler
4
78 kgFranz
7
62 kgAniołkowski
9
68 kgDekker
12
80 kgBrożyna
14
71 kgvan der Horst
15
62 kgPogačar
16
66 kgRojus
17
83 kgvan Sintmaartensdijk
21
77 kgLašinis
22
69 kgJerman
23
67 kgNeuman
25
72 kgKoch
26
68 kgPawlak
27
81 kgTagliani
28
70 kgvan den Berg
33
72 kg
Weight (KG) →
Result →
83
62
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PESSOT Alessandro | 75 |
| 2 | MAŁECKI Kamil | 69 |
| 3 | VAN DER KOOIJ Bas | 70 |
| 4 | KESSLER Robert | 78 |
| 7 | FRANZ Marcel | 62 |
| 9 | ANIOŁKOWSKI Stanisław | 68 |
| 12 | DEKKER David | 80 |
| 14 | BROŻYNA Piotr | 71 |
| 15 | VAN DER HORST Dennis | 62 |
| 16 | POGAČAR Tadej | 66 |
| 17 | ROJUS Adomaitis | 83 |
| 21 | VAN SINTMAARTENSDIJK Daan | 77 |
| 22 | LAŠINIS Venantas | 69 |
| 23 | JERMAN Žiga | 67 |
| 25 | NEUMAN Dominik | 72 |
| 26 | KOCH Christian | 68 |
| 27 | PAWLAK Tobiasz | 81 |
| 28 | TAGLIANI Filippo | 70 |
| 33 | VAN DEN BERG Lars | 72 |