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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Corioni
1
67 kgContador
2
61 kgBileka
3
65 kgJufré
4
65 kgMurn
5
70 kgHunter
6
72 kgEdo
7
64 kgDanielson
8
58.5 kgCancellara
9
80 kgFrigo
10
66 kgPérez
11
70 kgRighi
12
70 kgRubiera
13
69 kgBernabéu
14
66 kgFerrío
16
51 kgHorner
17
70 kgGarcía Quesada
19
63 kgKarpets
20
79 kgBruseghin
21
70 kgArtetxe
22
61 kgFlorencio
23
59 kgGómez Marchante
24
60 kgVan den Broeck
25
69 kg
1
67 kgContador
2
61 kgBileka
3
65 kgJufré
4
65 kgMurn
5
70 kgHunter
6
72 kgEdo
7
64 kgDanielson
8
58.5 kgCancellara
9
80 kgFrigo
10
66 kgPérez
11
70 kgRighi
12
70 kgRubiera
13
69 kgBernabéu
14
66 kgFerrío
16
51 kgHorner
17
70 kgGarcía Quesada
19
63 kgKarpets
20
79 kgBruseghin
21
70 kgArtetxe
22
61 kgFlorencio
23
59 kgGómez Marchante
24
60 kgVan den Broeck
25
69 kg
Weight (KG) →
Result →
80
51
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | CORIONI Claudio | 67 |
2 | CONTADOR Alberto | 61 |
3 | BILEKA Volodymyr | 65 |
4 | JUFRÉ Josep | 65 |
5 | MURN Uroš | 70 |
6 | HUNTER Robert | 72 |
7 | EDO Ángel | 64 |
8 | DANIELSON Tom | 58.5 |
9 | CANCELLARA Fabian | 80 |
10 | FRIGO Dario | 66 |
11 | PÉREZ Aitor | 70 |
12 | RIGHI Daniele | 70 |
13 | RUBIERA José Luis | 69 |
14 | BERNABÉU David | 66 |
16 | FERRÍO Jorge | 51 |
17 | HORNER Chris | 70 |
19 | GARCÍA QUESADA Carlos | 63 |
20 | KARPETS Vladimir | 79 |
21 | BRUSEGHIN Marzio | 70 |
22 | ARTETXE Mikel | 61 |
23 | FLORENCIO Xavier | 59 |
24 | GÓMEZ MARCHANTE José Ángel | 60 |
25 | VAN DEN BROECK Jurgen | 69 |