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.
Oldani
2
65 kgCepeda
3
56 kgMolard
4
62 kgPithie
5
74 kgMüller
6
64 kgDonnenwirth
7
63 kgGuégan
8
71 kgPedrero
9
60 kgCimolai
10
70 kgRyan
11
56 kgTesson
13
59 kgRochas
14
51 kgHennequin
15
64 kgCapron
16
59 kgRies
17
67 kgLafay
20
65 kgKnecht
21
66 kgSosa
22
52 kgVenturini
23
60 kgHermans
24
72 kgJarnet
25
63 kgCarthy
26
69 kgMorin
27
74 kg
2
65 kgCepeda
3
56 kgMolard
4
62 kgPithie
5
74 kgMüller
6
64 kgDonnenwirth
7
63 kgGuégan
8
71 kgPedrero
9
60 kgCimolai
10
70 kgRyan
11
56 kgTesson
13
59 kgRochas
14
51 kgHennequin
15
64 kgCapron
16
59 kgRies
17
67 kgLafay
20
65 kgKnecht
21
66 kgSosa
22
52 kgVenturini
23
60 kgHermans
24
72 kgJarnet
25
63 kgCarthy
26
69 kgMorin
27
74 kg
Weight (KG) →
Result →
74
51
2
27
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OLDANI Stefano | 65 |
| 3 | CEPEDA Jefferson Alexander | 56 |
| 4 | MOLARD Rudy | 62 |
| 5 | PITHIE Laurence | 74 |
| 6 | MÜLLER Tobias | 64 |
| 7 | DONNENWIRTH Tom | 63 |
| 8 | GUÉGAN Maël | 71 |
| 9 | PEDRERO Antonio | 60 |
| 10 | CIMOLAI Davide | 70 |
| 11 | RYAN Archie | 56 |
| 13 | TESSON Jason | 59 |
| 14 | ROCHAS Rémy | 51 |
| 15 | HENNEQUIN Paul | 64 |
| 16 | CAPRON Rémi | 59 |
| 17 | RIES Michel | 67 |
| 20 | LAFAY Victor | 65 |
| 21 | KNECHT Noah | 66 |
| 22 | SOSA Iván Ramiro | 52 |
| 23 | VENTURINI Clément | 60 |
| 24 | HERMANS Ben | 72 |
| 25 | JARNET Maxime | 63 |
| 26 | CARTHY Hugh | 69 |
| 27 | MORIN Emmanuel | 74 |