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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Förster
1
83 kgVaitkus
2
75 kgEisel
3
74 kgRoelandts
5
78 kgCosta
6
69 kgZabel
7
69 kgZaballa
8
66 kgSchröder
9
64 kgJégou
10
71 kgCardoso
13
70 kgCosme
14
61 kgGarrido
15
70 kgNozal
16
70 kgDehaes
17
73 kgGérard
18
70 kgCaccia
19
70 kgCárdenas
20
59 kgChavanel
23
77 kgScheirlinckx
24
78 kgGardeyn
25
75 kg
1
83 kgVaitkus
2
75 kgEisel
3
74 kgRoelandts
5
78 kgCosta
6
69 kgZabel
7
69 kgZaballa
8
66 kgSchröder
9
64 kgJégou
10
71 kgCardoso
13
70 kgCosme
14
61 kgGarrido
15
70 kgNozal
16
70 kgDehaes
17
73 kgGérard
18
70 kgCaccia
19
70 kgCárdenas
20
59 kgChavanel
23
77 kgScheirlinckx
24
78 kgGardeyn
25
75 kg
Weight (KG) →
Result →
83
59
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FÖRSTER Robert | 83 |
| 2 | VAITKUS Tomas | 75 |
| 3 | EISEL Bernhard | 74 |
| 5 | ROELANDTS Jürgen | 78 |
| 6 | COSTA Rui | 69 |
| 7 | ZABEL Erik | 69 |
| 8 | ZABALLA Constantino | 66 |
| 9 | SCHRÖDER Björn | 64 |
| 10 | JÉGOU Lilian | 71 |
| 13 | CARDOSO Manuel Antonio Leal | 70 |
| 14 | COSME Antonio | 61 |
| 15 | GARRIDO Martin Gerardo | 70 |
| 16 | NOZAL Isidro | 70 |
| 17 | DEHAES Kenny | 73 |
| 18 | GÉRARD Arnaud | 70 |
| 19 | CACCIA Diego | 70 |
| 20 | CÁRDENAS Félix Rafael | 59 |
| 23 | CHAVANEL Sébastien | 77 |
| 24 | SCHEIRLINCKX Staf | 78 |
| 25 | GARDEYN Gorik | 75 |