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 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Ulissi
1
63 kgAtapuma
2
59 kgMajka
3
62 kgCapecchi
4
65 kgBasso
5
70 kgPozzovivo
6
53 kgIzagirre
7
60 kgHowes
8
61 kgHermans
9
72 kgWeening
10
68 kgKišerlovski
11
72 kgMoreno
12
63 kgSørensen
13
64 kgHenao
14
61 kgRebellin
15
63 kgValls
16
64 kgKangert
17
65 kgElissonde
18
52 kgNerz
19
67 kgKönig
20
62 kg
1
63 kgAtapuma
2
59 kgMajka
3
62 kgCapecchi
4
65 kgBasso
5
70 kgPozzovivo
6
53 kgIzagirre
7
60 kgHowes
8
61 kgHermans
9
72 kgWeening
10
68 kgKišerlovski
11
72 kgMoreno
12
63 kgSørensen
13
64 kgHenao
14
61 kgRebellin
15
63 kgValls
16
64 kgKangert
17
65 kgElissonde
18
52 kgNerz
19
67 kgKönig
20
62 kg
Weight (KG) →
Result →
72
52
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ULISSI Diego | 63 |
| 2 | ATAPUMA Darwin | 59 |
| 3 | MAJKA Rafał | 62 |
| 4 | CAPECCHI Eros | 65 |
| 5 | BASSO Ivan | 70 |
| 6 | POZZOVIVO Domenico | 53 |
| 7 | IZAGIRRE Ion | 60 |
| 8 | HOWES Alex | 61 |
| 9 | HERMANS Ben | 72 |
| 10 | WEENING Pieter | 68 |
| 11 | KIŠERLOVSKI Robert | 72 |
| 12 | MORENO Javier | 63 |
| 13 | SØRENSEN Chris Anker | 64 |
| 14 | HENAO Sergio | 61 |
| 15 | REBELLIN Davide | 63 |
| 16 | VALLS Rafael | 64 |
| 17 | KANGERT Tanel | 65 |
| 18 | ELISSONDE Kenny | 52 |
| 19 | NERZ Dominik | 67 |
| 20 | KÖNIG Leopold | 62 |