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 = 0.3 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Rodríguez
2
58 kgMenchov
3
65 kgHeras
4
59 kgPiil
5
65 kgLastras
6
68 kgBertagnolli
7
63 kgCuesta
8
62 kgVerbrugghe
10
70 kgMartínez
11
70 kgGarcía Quesada
12
63 kgSastre
13
61 kgMercado
14
56 kgCañada
15
65 kgJoachim
16
82 kgFlorencio
17
59 kgMoerenhout
18
74 kgMancebo
21
64 kgPlaza
22
77 kgMcGee
23
72 kgGonzález
24
55 kgGómez
25
68 kg
2
58 kgMenchov
3
65 kgHeras
4
59 kgPiil
5
65 kgLastras
6
68 kgBertagnolli
7
63 kgCuesta
8
62 kgVerbrugghe
10
70 kgMartínez
11
70 kgGarcía Quesada
12
63 kgSastre
13
61 kgMercado
14
56 kgCañada
15
65 kgJoachim
16
82 kgFlorencio
17
59 kgMoerenhout
18
74 kgMancebo
21
64 kgPlaza
22
77 kgMcGee
23
72 kgGonzález
24
55 kgGómez
25
68 kg
Weight (KG) →
Result →
82
55
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RODRÍGUEZ Joaquim | 58 |
| 3 | MENCHOV Denis | 65 |
| 4 | HERAS Roberto | 59 |
| 5 | PIIL Jakob Storm | 65 |
| 6 | LASTRAS Pablo | 68 |
| 7 | BERTAGNOLLI Leonardo | 63 |
| 8 | CUESTA Iñigo | 62 |
| 10 | VERBRUGGHE Rik | 70 |
| 11 | MARTÍNEZ Egoi | 70 |
| 12 | GARCÍA QUESADA Carlos | 63 |
| 13 | SASTRE Carlos | 61 |
| 14 | MERCADO Juan Miguel | 56 |
| 15 | CAÑADA David | 65 |
| 16 | JOACHIM Benoît | 82 |
| 17 | FLORENCIO Xavier | 59 |
| 18 | MOERENHOUT Koos | 74 |
| 21 | MANCEBO Francisco | 64 |
| 22 | PLAZA Rubén | 77 |
| 23 | MCGEE Bradley | 72 |
| 24 | GONZÁLEZ Freddy Excelino | 55 |
| 25 | GÓMEZ Ángel | 68 |