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 + 16
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Lecerf
1
54 kgFisher-Black
2
69 kgPluimers
3
67 kgRomeo
4
75 kgWright
5
75 kgZambanini
10
62 kgCanal
11
70 kgLópez de Abetxuko
13
74 kgWærenskjold
14
92 kgRomele
15
71 kgPickering
16
55 kgMahoudo
19
61 kgSvrček
20
66 kgVinokurov
22
65 kgMarukhin
23
64 kgChzhan
25
71 kgSyritsa
26
85 kgZijlaard
27
73 kgNaberman
28
70 kgHamdan
32
66 kgAlabdulmunim
33
64 kgZubeldia
34
72 kgMadan
39
65 kg
1
54 kgFisher-Black
2
69 kgPluimers
3
67 kgRomeo
4
75 kgWright
5
75 kgZambanini
10
62 kgCanal
11
70 kgLópez de Abetxuko
13
74 kgWærenskjold
14
92 kgRomele
15
71 kgPickering
16
55 kgMahoudo
19
61 kgSvrček
20
66 kgVinokurov
22
65 kgMarukhin
23
64 kgChzhan
25
71 kgSyritsa
26
85 kgZijlaard
27
73 kgNaberman
28
70 kgHamdan
32
66 kgAlabdulmunim
33
64 kgZubeldia
34
72 kgMadan
39
65 kg
Weight (KG) →
Result →
92
54
1
39
# | Rider | Weight (KG) |
---|---|---|
1 | LECERF Junior | 54 |
2 | FISHER-BLACK Finn | 69 |
3 | PLUIMERS Rick | 67 |
4 | ROMEO Iván | 75 |
5 | WRIGHT Fred | 75 |
10 | ZAMBANINI Edoardo | 62 |
11 | CANAL Carlos | 70 |
13 | LÓPEZ DE ABETXUKO Andoni | 74 |
14 | WÆRENSKJOLD Søren | 92 |
15 | ROMELE Alessandro | 71 |
16 | PICKERING Finlay | 55 |
19 | MAHOUDO Nolann | 61 |
20 | SVRČEK Martin | 66 |
22 | VINOKUROV Nicolas | 65 |
23 | MARUKHIN Daniil | 64 |
25 | CHZHAN Igor | 71 |
26 | SYRITSA Gleb | 85 |
27 | ZIJLAARD Maikel | 73 |
28 | NABERMAN Tim | 70 |
32 | HAMDAN Wan Abdul Rahman | 66 |
33 | ALABDULMUNIM Azzam | 64 |
34 | ZUBELDIA Unai | 72 |
39 | MADAN Ahmed | 65 |