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 = -0.8 * weight + 70
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Nazon
1
68 kgSimon
2
70 kgJalabert
3
68 kgMilesi
5
78 kgSivakov
6
72 kgGaumont
7
77 kgMori
8
77 kgBouvard
9
70 kgHinault
10
63 kgBrochard
11
68 kgMoreau
14
71 kgCommesso
15
66 kgDufaux
16
60 kgJulich
17
68 kgMauri
19
68 kgHorner
20
70 kgHervé
21
62 kgVansevenant
22
65 kgOsa
23
64 kgArrieta
24
68 kgRous
27
70 kgRinero
28
65 kg
1
68 kgSimon
2
70 kgJalabert
3
68 kgMilesi
5
78 kgSivakov
6
72 kgGaumont
7
77 kgMori
8
77 kgBouvard
9
70 kgHinault
10
63 kgBrochard
11
68 kgMoreau
14
71 kgCommesso
15
66 kgDufaux
16
60 kgJulich
17
68 kgMauri
19
68 kgHorner
20
70 kgHervé
21
62 kgVansevenant
22
65 kgOsa
23
64 kgArrieta
24
68 kgRous
27
70 kgRinero
28
65 kg
Weight (KG) →
Result →
78
60
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAZON Damien | 68 |
| 2 | SIMON François | 70 |
| 3 | JALABERT Nicolas | 68 |
| 5 | MILESI Marco | 78 |
| 6 | SIVAKOV Alexei | 72 |
| 7 | GAUMONT Philippe | 77 |
| 8 | MORI Massimiliano | 77 |
| 9 | BOUVARD Gilles | 70 |
| 10 | HINAULT Sébastien | 63 |
| 11 | BROCHARD Laurent | 68 |
| 14 | MOREAU Christophe | 71 |
| 15 | COMMESSO Salvatore | 66 |
| 16 | DUFAUX Laurent | 60 |
| 17 | JULICH Bobby | 68 |
| 19 | MAURI Melchor | 68 |
| 20 | HORNER Chris | 70 |
| 21 | HERVÉ Pascal | 62 |
| 22 | VANSEVENANT Wim | 65 |
| 23 | OSA Aitor | 64 |
| 24 | ARRIETA José Luis | 68 |
| 27 | ROUS Didier | 70 |
| 28 | RINERO Christophe | 65 |