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 + 15
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Van Avermaet
1
74 kgMatthews
2
72 kgStuyven
3
78 kgReijnen
5
63 kgMorton
6
62 kgBazzana
8
63.5 kgJones
9
64 kgEuser
10
56 kgAcevedo
11
63 kgBennett
14
58 kgKoch
15
69 kgMancebo
16
64 kgHorner
20
70 kgMachado
22
63 kgDeignan
23
65 kgBeyer
25
63 kgLewis
26
65 kgNazaret
27
65 kgȚvetcov
28
69 kgHesjedal
29
73 kgRodriguez
30
68 kgBusche
31
69 kgLouder
32
73 kgJenkins
33
63 kg
1
74 kgMatthews
2
72 kgStuyven
3
78 kgReijnen
5
63 kgMorton
6
62 kgBazzana
8
63.5 kgJones
9
64 kgEuser
10
56 kgAcevedo
11
63 kgBennett
14
58 kgKoch
15
69 kgMancebo
16
64 kgHorner
20
70 kgMachado
22
63 kgDeignan
23
65 kgBeyer
25
63 kgLewis
26
65 kgNazaret
27
65 kgȚvetcov
28
69 kgHesjedal
29
73 kgRodriguez
30
68 kgBusche
31
69 kgLouder
32
73 kgJenkins
33
63 kg
Weight (KG) →
Result →
78
56
1
33
# | Rider | Weight (KG) |
---|---|---|
1 | VAN AVERMAET Greg | 74 |
2 | MATTHEWS Michael | 72 |
3 | STUYVEN Jasper | 78 |
5 | REIJNEN Kiel | 63 |
6 | MORTON Lachlan | 62 |
8 | BAZZANA Alessandro | 63.5 |
9 | JONES Chris | 64 |
10 | EUSER Lucas | 56 |
11 | ACEVEDO Janier | 63 |
14 | BENNETT George | 58 |
15 | KOCH Michel | 69 |
16 | MANCEBO Francisco | 64 |
20 | HORNER Chris | 70 |
22 | MACHADO Tiago | 63 |
23 | DEIGNAN Philip | 65 |
25 | BEYER Chad | 63 |
26 | LEWIS Craig | 65 |
27 | NAZARET Magno | 65 |
28 | ȚVETCOV Serghei | 69 |
29 | HESJEDAL Ryder | 73 |
30 | RODRIGUEZ Fred | 68 |
31 | BUSCHE Matthew | 69 |
32 | LOUDER Jeff | 73 |
33 | JENKINS Max | 63 |