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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Amezqueta
1
63 kgO'Connor
2
67 kgJacobs
3
78 kgIrisarri
4
66 kgSosa
5
52 kgBakelants
6
67 kgEzquerra
7
68 kgKnox
8
58 kgPetilli
9
65 kgMarengo
10
69 kgMosca
11
65 kgBuitrago
12
59 kgRiesebeek
13
78 kgNovak
14
70 kgHonoré
15
68 kgAlmeida
17
63 kgDavies
18
66 kgDi Sante
19
62 kgBallerstedt
20
76 kgBurghardt
21
75 kg
1
63 kgO'Connor
2
67 kgJacobs
3
78 kgIrisarri
4
66 kgSosa
5
52 kgBakelants
6
67 kgEzquerra
7
68 kgKnox
8
58 kgPetilli
9
65 kgMarengo
10
69 kgMosca
11
65 kgBuitrago
12
59 kgRiesebeek
13
78 kgNovak
14
70 kgHonoré
15
68 kgAlmeida
17
63 kgDavies
18
66 kgDi Sante
19
62 kgBallerstedt
20
76 kgBurghardt
21
75 kg
Weight (KG) →
Result →
78
52
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMEZQUETA Julen | 63 |
| 2 | O'CONNOR Ben | 67 |
| 3 | JACOBS Johan | 78 |
| 4 | IRISARRI Jon | 66 |
| 5 | SOSA Iván Ramiro | 52 |
| 6 | BAKELANTS Jan | 67 |
| 7 | EZQUERRA Jesús | 68 |
| 8 | KNOX James | 58 |
| 9 | PETILLI Simone | 65 |
| 10 | MARENGO Umberto | 69 |
| 11 | MOSCA Jacopo | 65 |
| 12 | BUITRAGO Santiago | 59 |
| 13 | RIESEBEEK Oscar | 78 |
| 14 | NOVAK Domen | 70 |
| 15 | HONORÉ Mikkel Frølich | 68 |
| 17 | ALMEIDA João | 63 |
| 18 | DAVIES Scott | 66 |
| 19 | DI SANTE Antonio | 62 |
| 20 | BALLERSTEDT Maurice | 76 |
| 21 | BURGHARDT Marcus | 75 |