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 + 39
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Edo
2
64 kgSvorada
3
76 kgJalabert
4
66 kgOlano
8
70 kgBelli
8
64 kgDernies
13
75 kgVirenque
16
65 kgZülle
21
72 kgLuttenberger
26
60 kgChiappucci
29
67 kgHincapie
31
83 kgOsa
32
64 kgvan Heeswijk
33
73 kgMauri
34
68 kgArmstrong
36
72 kgZberg
39
72 kgDelgado
40
64 kgEscartín
41
61 kgSerrano
43
63 kgBreukink
44
70 kgPlaza
45
68 kgFarazijn
47
69 kg
2
64 kgSvorada
3
76 kgJalabert
4
66 kgOlano
8
70 kgBelli
8
64 kgDernies
13
75 kgVirenque
16
65 kgZülle
21
72 kgLuttenberger
26
60 kgChiappucci
29
67 kgHincapie
31
83 kgOsa
32
64 kgvan Heeswijk
33
73 kgMauri
34
68 kgArmstrong
36
72 kgZberg
39
72 kgDelgado
40
64 kgEscartín
41
61 kgSerrano
43
63 kgBreukink
44
70 kgPlaza
45
68 kgFarazijn
47
69 kg
Weight (KG) →
Result →
83
60
2
47
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EDO Ángel | 64 |
| 3 | SVORADA Ján | 76 |
| 4 | JALABERT Laurent | 66 |
| 8 | OLANO Abraham | 70 |
| 8 | BELLI Wladimir | 64 |
| 13 | DERNIES Michel | 75 |
| 16 | VIRENQUE Richard | 65 |
| 21 | ZÜLLE Alex | 72 |
| 26 | LUTTENBERGER Peter | 60 |
| 29 | CHIAPPUCCI Claudio | 67 |
| 31 | HINCAPIE George | 83 |
| 32 | OSA Aitor | 64 |
| 33 | VAN HEESWIJK Max | 73 |
| 34 | MAURI Melchor | 68 |
| 36 | ARMSTRONG Lance | 72 |
| 39 | ZBERG Beat | 72 |
| 40 | DELGADO Pedro | 64 |
| 41 | ESCARTÍN Fernando | 61 |
| 43 | SERRANO Marcos Antonio | 63 |
| 44 | BREUKINK Erik | 70 |
| 45 | PLAZA David | 68 |
| 47 | FARAZIJN Peter | 69 |