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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Cancellara
1
80 kgEisel
2
74 kgKreuziger
3
65 kgCiolek
4
75 kgKlöden
5
63 kgFreire
6
63 kgHincapie
7
83 kgGavazzi
8
65 kgMartin
9
75 kgRojas
10
70 kgKirchen
11
68 kgFlorencio
12
59 kgMonfort
13
66 kgSiedler
14
75 kgMondory
15
66 kgHaussler
16
74 kgGasparotto
17
65 kgBoom
18
75 kgCosta
19
69 kgMoreno
20
59 kgLarsson
21
77 kgBarredo
22
61 kgOffredo
23
69 kg
1
80 kgEisel
2
74 kgKreuziger
3
65 kgCiolek
4
75 kgKlöden
5
63 kgFreire
6
63 kgHincapie
7
83 kgGavazzi
8
65 kgMartin
9
75 kgRojas
10
70 kgKirchen
11
68 kgFlorencio
12
59 kgMonfort
13
66 kgSiedler
14
75 kgMondory
15
66 kgHaussler
16
74 kgGasparotto
17
65 kgBoom
18
75 kgCosta
19
69 kgMoreno
20
59 kgLarsson
21
77 kgBarredo
22
61 kgOffredo
23
69 kg
Weight (KG) →
Result →
83
59
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CANCELLARA Fabian | 80 |
| 2 | EISEL Bernhard | 74 |
| 3 | KREUZIGER Roman | 65 |
| 4 | CIOLEK Gerald | 75 |
| 5 | KLÖDEN Andreas | 63 |
| 6 | FREIRE Óscar | 63 |
| 7 | HINCAPIE George | 83 |
| 8 | GAVAZZI Francesco | 65 |
| 9 | MARTIN Tony | 75 |
| 10 | ROJAS José Joaquín | 70 |
| 11 | KIRCHEN Kim | 68 |
| 12 | FLORENCIO Xavier | 59 |
| 13 | MONFORT Maxime | 66 |
| 14 | SIEDLER Sebastian | 75 |
| 15 | MONDORY Lloyd | 66 |
| 16 | HAUSSLER Heinrich | 74 |
| 17 | GASPAROTTO Enrico | 65 |
| 18 | BOOM Lars | 75 |
| 19 | COSTA Rui | 69 |
| 20 | MORENO Daniel | 59 |
| 21 | LARSSON Gustav Erik | 77 |
| 22 | BARREDO Carlos | 61 |
| 23 | OFFREDO Yoann | 69 |