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 = 0.9 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Kreder
1
67 kgSchär
2
78 kgCapecchi
5
65 kgVinther
6
68 kgCherel
12
65 kgRolland
14
70 kgKreuziger
17
65 kgSteensen
23
65 kgBiesek
30
66 kgWyss
34
63 kgGastauer
35
73 kgvan Amerongen
38
70 kgGesink
39
70 kgPonzi
41
63 kgKvist
42
68 kgFrank
49
64 kgPöll
53
60 kgKönig
64
62 kgBarle
69
72 kgMaes
73
78 kgBoasson Hagen
74
75 kgAramendia
76
72 kgIriarte
80
68 kg
1
67 kgSchär
2
78 kgCapecchi
5
65 kgVinther
6
68 kgCherel
12
65 kgRolland
14
70 kgKreuziger
17
65 kgSteensen
23
65 kgBiesek
30
66 kgWyss
34
63 kgGastauer
35
73 kgvan Amerongen
38
70 kgGesink
39
70 kgPonzi
41
63 kgKvist
42
68 kgFrank
49
64 kgPöll
53
60 kgKönig
64
62 kgBarle
69
72 kgMaes
73
78 kgBoasson Hagen
74
75 kgAramendia
76
72 kgIriarte
80
68 kg
Weight (KG) →
Result →
78
60
1
80
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KREDER Michel | 67 |
| 2 | SCHÄR Michael | 78 |
| 5 | CAPECCHI Eros | 65 |
| 6 | VINTHER Troels Rønning | 68 |
| 12 | CHEREL Mikaël | 65 |
| 14 | ROLLAND Pierre | 70 |
| 17 | KREUZIGER Roman | 65 |
| 23 | STEENSEN André | 65 |
| 30 | BIESEK Szymon | 66 |
| 34 | WYSS Marcel | 63 |
| 35 | GASTAUER Ben | 73 |
| 38 | VAN AMERONGEN Thijs | 70 |
| 39 | GESINK Robert | 70 |
| 41 | PONZI Simone | 63 |
| 42 | KVIST Thomas Vedel | 68 |
| 49 | FRANK Mathias | 64 |
| 53 | PÖLL Stefan | 60 |
| 64 | KÖNIG Leopold | 62 |
| 69 | BARLE Florent | 72 |
| 73 | MAES Nikolas | 78 |
| 74 | BOASSON HAGEN Edvald | 75 |
| 76 | ARAMENDIA Javier | 72 |
| 80 | IRIARTE Francisco Javier | 68 |