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 + 58
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Eyob
2
61 kgAreruya
3
74 kgOkubamariam
4
60 kgGhebreigzabhier
8
68 kgKangangi
9
64 kgAfewerki
13
63 kgLagab
22
63 kgMugisha
24
62 kgBosch
33
76 kgGoldstein
37
61 kgAmanuel
41
63 kgBoivin
45
78 kgHudry
48
57 kgHadari
49
58 kgPavlič
50
65 kgGoldstein
54
63 kgBonthuys
57
60 kg
2
61 kgAreruya
3
74 kgOkubamariam
4
60 kgGhebreigzabhier
8
68 kgKangangi
9
64 kgAfewerki
13
63 kgLagab
22
63 kgMugisha
24
62 kgBosch
33
76 kgGoldstein
37
61 kgAmanuel
41
63 kgBoivin
45
78 kgHudry
48
57 kgHadari
49
58 kgPavlič
50
65 kgGoldstein
54
63 kgBonthuys
57
60 kg
Weight (KG) →
Result →
78
57
2
57
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EYOB Metkel | 61 |
| 3 | ARERUYA Joseph | 74 |
| 4 | OKUBAMARIAM Tesfom | 60 |
| 8 | GHEBREIGZABHIER Amanuel | 68 |
| 9 | KANGANGI Suleiman | 64 |
| 13 | AFEWERKI Elyas | 63 |
| 22 | LAGAB Azzedine | 63 |
| 24 | MUGISHA Samuel | 62 |
| 33 | BOSCH Manuel | 76 |
| 37 | GOLDSTEIN Omer | 61 |
| 41 | AMANUEL Meron | 63 |
| 45 | BOIVIN Guillaume | 78 |
| 48 | HUDRY Florian | 57 |
| 49 | HADARI Zohar | 58 |
| 50 | PAVLIČ Marko | 65 |
| 54 | GOLDSTEIN Roy | 63 |
| 57 | BONTHUYS Carl | 60 |