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 = -0.4 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Areruya
2
74 kgOkubamariam
3
60 kgEyob
5
61 kgGhebreigzabhier
6
68 kgKangangi
8
64 kgLagab
11
63 kgAfewerki
16
63 kgMugisha
26
62 kgAmanuel
35
63 kgBosch
36
76 kgGoldstein
41
61 kgBoivin
48
78 kgHudry
49
57 kgHadari
51
58 kgPavlič
52
65 kgGoldstein
53
63 kgBonthuys
59
60 kg
2
74 kgOkubamariam
3
60 kgEyob
5
61 kgGhebreigzabhier
6
68 kgKangangi
8
64 kgLagab
11
63 kgAfewerki
16
63 kgMugisha
26
62 kgAmanuel
35
63 kgBosch
36
76 kgGoldstein
41
61 kgBoivin
48
78 kgHudry
49
57 kgHadari
51
58 kgPavlič
52
65 kgGoldstein
53
63 kgBonthuys
59
60 kg
Weight (KG) →
Result →
78
57
2
59
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ARERUYA Joseph | 74 |
| 3 | OKUBAMARIAM Tesfom | 60 |
| 5 | EYOB Metkel | 61 |
| 6 | GHEBREIGZABHIER Amanuel | 68 |
| 8 | KANGANGI Suleiman | 64 |
| 11 | LAGAB Azzedine | 63 |
| 16 | AFEWERKI Elyas | 63 |
| 26 | MUGISHA Samuel | 62 |
| 35 | AMANUEL Meron | 63 |
| 36 | BOSCH Manuel | 76 |
| 41 | GOLDSTEIN Omer | 61 |
| 48 | BOIVIN Guillaume | 78 |
| 49 | HUDRY Florian | 57 |
| 51 | HADARI Zohar | 58 |
| 52 | PAVLIČ Marko | 65 |
| 53 | GOLDSTEIN Roy | 63 |
| 59 | BONTHUYS Carl | 60 |