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 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Oldani
1
65 kgDonnenwirth
2
63 kgMolard
3
62 kgCapron
5
59 kgCepeda
6
56 kgPithie
8
74 kgRyan
9
56 kgPedrero
10
60 kgGuégan
11
71 kgLafay
12
65 kgHermans
13
72 kgSamitier
14
63 kgTesson
15
59 kgRies
16
67 kgRochas
17
51 kgSosa
20
52 kgVenturini
21
60 kgDelettre
22
62 kgJarnet
23
63 kgCarthy
24
69 kgWatson
26
68 kg
1
65 kgDonnenwirth
2
63 kgMolard
3
62 kgCapron
5
59 kgCepeda
6
56 kgPithie
8
74 kgRyan
9
56 kgPedrero
10
60 kgGuégan
11
71 kgLafay
12
65 kgHermans
13
72 kgSamitier
14
63 kgTesson
15
59 kgRies
16
67 kgRochas
17
51 kgSosa
20
52 kgVenturini
21
60 kgDelettre
22
62 kgJarnet
23
63 kgCarthy
24
69 kgWatson
26
68 kg
Weight (KG) →
Result →
74
51
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OLDANI Stefano | 65 |
| 2 | DONNENWIRTH Tom | 63 |
| 3 | MOLARD Rudy | 62 |
| 5 | CAPRON Rémi | 59 |
| 6 | CEPEDA Jefferson Alexander | 56 |
| 8 | PITHIE Laurence | 74 |
| 9 | RYAN Archie | 56 |
| 10 | PEDRERO Antonio | 60 |
| 11 | GUÉGAN Maël | 71 |
| 12 | LAFAY Victor | 65 |
| 13 | HERMANS Ben | 72 |
| 14 | SAMITIER Sergio | 63 |
| 15 | TESSON Jason | 59 |
| 16 | RIES Michel | 67 |
| 17 | ROCHAS Rémy | 51 |
| 20 | SOSA Iván Ramiro | 52 |
| 21 | VENTURINI Clément | 60 |
| 22 | DELETTRE Alexandre | 62 |
| 23 | JARNET Maxime | 63 |
| 24 | CARTHY Hugh | 69 |
| 26 | WATSON Samuel | 68 |