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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Van Avermaet
1
74 kgMatthews
2
72 kgMorton
4
62 kgStuyven
6
78 kgReijnen
7
63 kgJones
8
64 kgEuser
9
56 kgHepburn
11
77 kgBennett
12
58 kgAcevedo
13
63 kgKoch
14
69 kgHorner
18
70 kgBazzana
19
63.5 kgMachado
20
63 kgDeignan
21
65 kgBeyer
23
63 kgNazaret
24
65 kgȚvetcov
26
69 kgRodriguez
27
68 kgBusche
28
69 kgMancebo
29
64 kgLouder
30
73 kgJenkins
31
63 kg
1
74 kgMatthews
2
72 kgMorton
4
62 kgStuyven
6
78 kgReijnen
7
63 kgJones
8
64 kgEuser
9
56 kgHepburn
11
77 kgBennett
12
58 kgAcevedo
13
63 kgKoch
14
69 kgHorner
18
70 kgBazzana
19
63.5 kgMachado
20
63 kgDeignan
21
65 kgBeyer
23
63 kgNazaret
24
65 kgȚvetcov
26
69 kgRodriguez
27
68 kgBusche
28
69 kgMancebo
29
64 kgLouder
30
73 kgJenkins
31
63 kg
Weight (KG) →
Result →
78
56
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN AVERMAET Greg | 74 |
| 2 | MATTHEWS Michael | 72 |
| 4 | MORTON Lachlan | 62 |
| 6 | STUYVEN Jasper | 78 |
| 7 | REIJNEN Kiel | 63 |
| 8 | JONES Chris | 64 |
| 9 | EUSER Lucas | 56 |
| 11 | HEPBURN Michael | 77 |
| 12 | BENNETT George | 58 |
| 13 | ACEVEDO Janier | 63 |
| 14 | KOCH Michel | 69 |
| 18 | HORNER Chris | 70 |
| 19 | BAZZANA Alessandro | 63.5 |
| 20 | MACHADO Tiago | 63 |
| 21 | DEIGNAN Philip | 65 |
| 23 | BEYER Chad | 63 |
| 24 | NAZARET Magno | 65 |
| 26 | ȚVETCOV Serghei | 69 |
| 27 | RODRIGUEZ Fred | 68 |
| 28 | BUSCHE Matthew | 69 |
| 29 | MANCEBO Francisco | 64 |
| 30 | LOUDER Jeff | 73 |
| 31 | JENKINS Max | 63 |