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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Zabel
1
69 kgFreire
2
63 kgBallan
3
73 kgHushovd
5
83 kgRebellin
6
63 kgNocentini
7
60 kgRiccò
8
57 kgAstarloa
9
61 kgPérez
10
65 kgCasper
11
69 kgMazzanti
12
64 kgRighi
13
70 kgRojas
14
70 kgGarzelli
15
62 kgPetacchi
16
70 kgPriamo
17
72 kgCheula
19
62 kgAscani
20
75 kgDi Luca
21
61 kgDekker
22
69 kgSimeoni
23
68 kgLe Mével
25
61 kgFacci
27
68 kg
1
69 kgFreire
2
63 kgBallan
3
73 kgHushovd
5
83 kgRebellin
6
63 kgNocentini
7
60 kgRiccò
8
57 kgAstarloa
9
61 kgPérez
10
65 kgCasper
11
69 kgMazzanti
12
64 kgRighi
13
70 kgRojas
14
70 kgGarzelli
15
62 kgPetacchi
16
70 kgPriamo
17
72 kgCheula
19
62 kgAscani
20
75 kgDi Luca
21
61 kgDekker
22
69 kgSimeoni
23
68 kgLe Mével
25
61 kgFacci
27
68 kg
Weight (KG) →
Result →
83
57
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 2 | FREIRE Óscar | 63 |
| 3 | BALLAN Alessandro | 73 |
| 5 | HUSHOVD Thor | 83 |
| 6 | REBELLIN Davide | 63 |
| 7 | NOCENTINI Rinaldo | 60 |
| 8 | RICCÒ Riccardo | 57 |
| 9 | ASTARLOA Igor | 61 |
| 10 | PÉREZ Rubén | 65 |
| 11 | CASPER Jimmy | 69 |
| 12 | MAZZANTI Luca | 64 |
| 13 | RIGHI Daniele | 70 |
| 14 | ROJAS José Joaquín | 70 |
| 15 | GARZELLI Stefano | 62 |
| 16 | PETACCHI Alessandro | 70 |
| 17 | PRIAMO Matteo | 72 |
| 19 | CHEULA Giampaolo | 62 |
| 20 | ASCANI Luca | 75 |
| 21 | DI LUCA Danilo | 61 |
| 22 | DEKKER Thomas | 69 |
| 23 | SIMEONI Filippo | 68 |
| 25 | LE MÉVEL Christophe | 61 |
| 27 | FACCI Mauro | 68 |