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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Cunego
1
58 kgRubiano
2
58 kgUlissi
3
63 kgFelline
4
68 kgRebellin
5
63 kgSantambrogio
6
63 kgGavazzi
7
70 kgZoidl
8
63 kgMugerli
9
68 kgBazzana
10
63.5 kgKönig
11
62 kgRogina
12
70 kgSprengers
14
60 kgBongiorno
15
56 kgLutsenko
16
74 kgReijnen
17
63 kgMatysiak
18
71 kg
1
58 kgRubiano
2
58 kgUlissi
3
63 kgFelline
4
68 kgRebellin
5
63 kgSantambrogio
6
63 kgGavazzi
7
70 kgZoidl
8
63 kgMugerli
9
68 kgBazzana
10
63.5 kgKönig
11
62 kgRogina
12
70 kgSprengers
14
60 kgBongiorno
15
56 kgLutsenko
16
74 kgReijnen
17
63 kgMatysiak
18
71 kg
Weight (KG) →
Result →
74
56
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CUNEGO Damiano | 58 |
| 2 | RUBIANO Miguel Angel | 58 |
| 3 | ULISSI Diego | 63 |
| 4 | FELLINE Fabio | 68 |
| 5 | REBELLIN Davide | 63 |
| 6 | SANTAMBROGIO Mauro | 63 |
| 7 | GAVAZZI Mattia | 70 |
| 8 | ZOIDL Riccardo | 63 |
| 9 | MUGERLI Matej | 68 |
| 10 | BAZZANA Alessandro | 63.5 |
| 11 | KÖNIG Leopold | 62 |
| 12 | ROGINA Radoslav | 70 |
| 14 | SPRENGERS Thomas | 60 |
| 15 | BONGIORNO Francesco Manuel | 56 |
| 16 | LUTSENKO Alexey | 74 |
| 17 | REIJNEN Kiel | 63 |
| 18 | MATYSIAK Bartłomiej | 71 |