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 = -0.7 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Eyob
1
61 kgOkubamariam
6
60 kgGoldstein
8
61 kgGhebreigzabhier
9
68 kgAfewerki
13
63 kgKangangi
16
64 kgAreruya
17
74 kgBoivin
22
78 kgMugisha
26
62 kgLagab
31
63 kgBosch
35
76 kgAmanuel
49
63 kgGoldstein
52
63 kgHadari
53
58 kgPavlič
54
65 kgHudry
55
57 kgBonthuys
57
60 kg
1
61 kgOkubamariam
6
60 kgGoldstein
8
61 kgGhebreigzabhier
9
68 kgAfewerki
13
63 kgKangangi
16
64 kgAreruya
17
74 kgBoivin
22
78 kgMugisha
26
62 kgLagab
31
63 kgBosch
35
76 kgAmanuel
49
63 kgGoldstein
52
63 kgHadari
53
58 kgPavlič
54
65 kgHudry
55
57 kgBonthuys
57
60 kg
Weight (KG) →
Result →
78
57
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EYOB Metkel | 61 |
| 6 | OKUBAMARIAM Tesfom | 60 |
| 8 | GOLDSTEIN Omer | 61 |
| 9 | GHEBREIGZABHIER Amanuel | 68 |
| 13 | AFEWERKI Elyas | 63 |
| 16 | KANGANGI Suleiman | 64 |
| 17 | ARERUYA Joseph | 74 |
| 22 | BOIVIN Guillaume | 78 |
| 26 | MUGISHA Samuel | 62 |
| 31 | LAGAB Azzedine | 63 |
| 35 | BOSCH Manuel | 76 |
| 49 | AMANUEL Meron | 63 |
| 52 | GOLDSTEIN Roy | 63 |
| 53 | HADARI Zohar | 58 |
| 54 | PAVLIČ Marko | 65 |
| 55 | HUDRY Florian | 57 |
| 57 | BONTHUYS Carl | 60 |