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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Cunego
1
58 kgRubiano
2
58 kgUlissi
3
63 kgFelline
4
68 kgCaruso
5
67 kgRebellin
6
63 kgZoidl
8
63 kgMugerli
9
68 kgBazzana
10
63.5 kgShpilevsky
11
78 kgKönig
12
62 kgRogina
13
70 kgShilov
14
67 kgSprengers
16
60 kgPonzi
17
63 kgBongiorno
18
56 kgLutsenko
19
74 kgRosa
20
65 kgQuintero
21
63 kgReijnen
22
63 kgChernetski
23
63 kgMatysiak
24
71 kg
1
58 kgRubiano
2
58 kgUlissi
3
63 kgFelline
4
68 kgCaruso
5
67 kgRebellin
6
63 kgZoidl
8
63 kgMugerli
9
68 kgBazzana
10
63.5 kgShpilevsky
11
78 kgKönig
12
62 kgRogina
13
70 kgShilov
14
67 kgSprengers
16
60 kgPonzi
17
63 kgBongiorno
18
56 kgLutsenko
19
74 kgRosa
20
65 kgQuintero
21
63 kgReijnen
22
63 kgChernetski
23
63 kgMatysiak
24
71 kg
Weight (KG) →
Result →
78
56
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CUNEGO Damiano | 58 |
| 2 | RUBIANO Miguel Angel | 58 |
| 3 | ULISSI Diego | 63 |
| 4 | FELLINE Fabio | 68 |
| 5 | CARUSO Damiano | 67 |
| 6 | REBELLIN Davide | 63 |
| 8 | ZOIDL Riccardo | 63 |
| 9 | MUGERLI Matej | 68 |
| 10 | BAZZANA Alessandro | 63.5 |
| 11 | SHPILEVSKY Boris | 78 |
| 12 | KÖNIG Leopold | 62 |
| 13 | ROGINA Radoslav | 70 |
| 14 | SHILOV Sergey | 67 |
| 16 | SPRENGERS Thomas | 60 |
| 17 | PONZI Simone | 63 |
| 18 | BONGIORNO Francesco Manuel | 56 |
| 19 | LUTSENKO Alexey | 74 |
| 20 | ROSA Diego | 65 |
| 21 | QUINTERO Carlos | 63 |
| 22 | REIJNEN Kiel | 63 |
| 23 | CHERNETSKI Sergei | 63 |
| 24 | MATYSIAK Bartłomiej | 71 |