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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Zoccarato
1
74 kgHofbauer
3
70 kgSchuran
4
70 kgGanna
6
83 kgRavasi
7
61 kgUlissi
8
63 kgGroßschartner
9
64 kgMeurisse
10
71 kgRivera
11
60 kgPellizzari
12
66 kgGogl
14
71 kgGrixa
15
62 kgDe Pretto
16
58 kgEngelhardt
17
68 kgRiesebeek
18
78 kgKabas
19
60 kgSheffield
20
73 kgChristen
21
60 kgCoppens
22
75 kg
1
74 kgHofbauer
3
70 kgSchuran
4
70 kgGanna
6
83 kgRavasi
7
61 kgUlissi
8
63 kgGroßschartner
9
64 kgMeurisse
10
71 kgRivera
11
60 kgPellizzari
12
66 kgGogl
14
71 kgGrixa
15
62 kgDe Pretto
16
58 kgEngelhardt
17
68 kgRiesebeek
18
78 kgKabas
19
60 kgSheffield
20
73 kgChristen
21
60 kgCoppens
22
75 kg
Weight (KG) →
Result →
83
58
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOCCARATO Samuele | 74 |
| 3 | HOFBAUER Philipp | 70 |
| 4 | SCHURAN Michal | 70 |
| 6 | GANNA Filippo | 83 |
| 7 | RAVASI Edward | 61 |
| 8 | ULISSI Diego | 63 |
| 9 | GROßSCHARTNER Felix | 64 |
| 10 | MEURISSE Xandro | 71 |
| 11 | RIVERA Brandon Smith | 60 |
| 12 | PELLIZZARI Giulio | 66 |
| 14 | GOGL Michael | 71 |
| 15 | GRIXA Jarno | 62 |
| 16 | DE PRETTO Davide | 58 |
| 17 | ENGELHARDT Felix | 68 |
| 18 | RIESEBEEK Oscar | 78 |
| 19 | KABAS Maximilian | 60 |
| 20 | SHEFFIELD Magnus | 73 |
| 21 | CHRISTEN Jan | 60 |
| 22 | COPPENS Michiel | 75 |