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 = -0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Teugels
1
64 kgRolland
2
70 kgManizabayo
3
72 kgQuintero
4
63 kgVuillermoz
6
60 kgvan Engelen
9
51 kgBoileau
10
57 kgRestrepo
12
73 kgFerron
13
67 kgHoehn
14
63 kgSevilla
15
62 kgGautier
16
65 kgMohd Zariff
17
63 kgHoller
18
58 kgRodríguez
20
59 kgEyob
21
61 kgSuaza
22
66 kgGoeman
23
64 kgGeniez
24
68 kg
1
64 kgRolland
2
70 kgManizabayo
3
72 kgQuintero
4
63 kgVuillermoz
6
60 kgvan Engelen
9
51 kgBoileau
10
57 kgRestrepo
12
73 kgFerron
13
67 kgHoehn
14
63 kgSevilla
15
62 kgGautier
16
65 kgMohd Zariff
17
63 kgHoller
18
58 kgRodríguez
20
59 kgEyob
21
61 kgSuaza
22
66 kgGoeman
23
64 kgGeniez
24
68 kg
Weight (KG) →
Result →
73
51
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | TEUGELS Lennert | 64 |
2 | ROLLAND Pierre | 70 |
3 | MANIZABAYO Eric | 72 |
4 | QUINTERO Carlos | 63 |
6 | VUILLERMOZ Alexis | 60 |
9 | VAN ENGELEN Adne | 51 |
10 | BOILEAU Alan | 57 |
12 | RESTREPO Jhonatan | 73 |
13 | FERRON Valentin | 67 |
14 | HOEHN Alex | 63 |
15 | SEVILLA Óscar | 62 |
16 | GAUTIER Cyril | 65 |
17 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
18 | HOLLER Nikodemus | 58 |
20 | RODRÍGUEZ Cristián | 59 |
21 | EYOB Metkel | 61 |
22 | SUAZA Bernardo | 66 |
23 | GOEMAN Andreas | 64 |
24 | GENIEZ Alexandre | 68 |