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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Teteriouk
1
72 kgRebellin
2
63 kgSimon
3
70 kgRobin
4
63 kgBölts
5
73 kgMoreau
6
71 kgBoogerd
7
62 kgTotschnig
8
62 kgVirenque
9
65 kgOlano
10
70 kgDufaux
11
60 kgEkimov
12
69 kgChanteur
13
62 kgPeron
14
70 kgZarrabeitia
15
63 kgJonker
16
69 kgMaignan
17
63 kgRinero
18
65 kgBessy
20
65 kg
1
72 kgRebellin
2
63 kgSimon
3
70 kgRobin
4
63 kgBölts
5
73 kgMoreau
6
71 kgBoogerd
7
62 kgTotschnig
8
62 kgVirenque
9
65 kgOlano
10
70 kgDufaux
11
60 kgEkimov
12
69 kgChanteur
13
62 kgPeron
14
70 kgZarrabeitia
15
63 kgJonker
16
69 kgMaignan
17
63 kgRinero
18
65 kgBessy
20
65 kg
Weight (KG) →
Result →
73
60
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TETERIOUK Andrei | 72 |
| 2 | REBELLIN Davide | 63 |
| 3 | SIMON François | 70 |
| 4 | ROBIN Jean-Cyril | 63 |
| 5 | BÖLTS Udo | 73 |
| 6 | MOREAU Christophe | 71 |
| 7 | BOOGERD Michael | 62 |
| 8 | TOTSCHNIG Georg | 62 |
| 9 | VIRENQUE Richard | 65 |
| 10 | OLANO Abraham | 70 |
| 11 | DUFAUX Laurent | 60 |
| 12 | EKIMOV Viatcheslav | 69 |
| 13 | CHANTEUR Pascal | 62 |
| 14 | PERON Andrea | 70 |
| 15 | ZARRABEITIA Mikel | 63 |
| 16 | JONKER Patrick | 69 |
| 17 | MAIGNAN Gilles | 63 |
| 18 | RINERO Christophe | 65 |
| 20 | BESSY Frédéric | 65 |