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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bole
1
69 kgRebellin
2
63 kgBenetseder
3
65 kgSantoro
4
53 kgRutkiewicz
5
66 kgHerklotz
6
68 kgTaciak
7
68 kgHirt
8
62 kgKoep
9
78 kgGrosu
10
68 kgMarycz
11
69 kgHník
12
57 kgZaballa
13
66 kgMatysiak
15
71 kgBernas
17
77 kgGradek
18
83 kgMarczyński
19
70 kgCieślik
20
65 kgOwsian
21
66 kgHoelgaard
22
74 kgPodlaski
23
68 kgCuadros
25
67 kg
1
69 kgRebellin
2
63 kgBenetseder
3
65 kgSantoro
4
53 kgRutkiewicz
5
66 kgHerklotz
6
68 kgTaciak
7
68 kgHirt
8
62 kgKoep
9
78 kgGrosu
10
68 kgMarycz
11
69 kgHník
12
57 kgZaballa
13
66 kgMatysiak
15
71 kgBernas
17
77 kgGradek
18
83 kgMarczyński
19
70 kgCieślik
20
65 kgOwsian
21
66 kgHoelgaard
22
74 kgPodlaski
23
68 kgCuadros
25
67 kg
Weight (KG) →
Result →
83
53
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOLE Grega | 69 |
| 2 | REBELLIN Davide | 63 |
| 3 | BENETSEDER Josef | 65 |
| 4 | SANTORO Antonio | 53 |
| 5 | RUTKIEWICZ Marek | 66 |
| 6 | HERKLOTZ Silvio | 68 |
| 7 | TACIAK Mateusz | 68 |
| 8 | HIRT Jan | 62 |
| 9 | KOEP Thomas | 78 |
| 10 | GROSU Eduard-Michael | 68 |
| 11 | MARYCZ Jarosław | 69 |
| 12 | HNÍK Karel | 57 |
| 13 | ZABALLA Constantino | 66 |
| 15 | MATYSIAK Bartłomiej | 71 |
| 17 | BERNAS Paweł | 77 |
| 18 | GRADEK Kamil | 83 |
| 19 | MARCZYŃSKI Tomasz | 70 |
| 20 | CIEŚLIK Paweł | 65 |
| 21 | OWSIAN Łukasz | 66 |
| 22 | HOELGAARD Markus | 74 |
| 23 | PODLASKI Michał | 68 |
| 25 | CUADROS Álvaro | 67 |