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.
Areruya
2
74 kgOkubamariam
4
60 kgEyob
5
61 kgKangangi
6
64 kgGhebreigzabhier
7
68 kgLagab
17
63 kgAfewerki
18
63 kgMugisha
29
62 kgGoldstein
33
61 kgBoivin
39
78 kgAmanuel
44
63 kgBosch
45
76 kgPavlič
47
65 kgHudry
48
57 kgHadari
52
58 kgSolomon
53
66 kgGoldstein
54
63 kgBonthuys
62
60 kg
2
74 kgOkubamariam
4
60 kgEyob
5
61 kgKangangi
6
64 kgGhebreigzabhier
7
68 kgLagab
17
63 kgAfewerki
18
63 kgMugisha
29
62 kgGoldstein
33
61 kgBoivin
39
78 kgAmanuel
44
63 kgBosch
45
76 kgPavlič
47
65 kgHudry
48
57 kgHadari
52
58 kgSolomon
53
66 kgGoldstein
54
63 kgBonthuys
62
60 kg
Weight (KG) →
Result →
78
57
2
62
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ARERUYA Joseph | 74 |
| 4 | OKUBAMARIAM Tesfom | 60 |
| 5 | EYOB Metkel | 61 |
| 6 | KANGANGI Suleiman | 64 |
| 7 | GHEBREIGZABHIER Amanuel | 68 |
| 17 | LAGAB Azzedine | 63 |
| 18 | AFEWERKI Elyas | 63 |
| 29 | MUGISHA Samuel | 62 |
| 33 | GOLDSTEIN Omer | 61 |
| 39 | BOIVIN Guillaume | 78 |
| 44 | AMANUEL Meron | 63 |
| 45 | BOSCH Manuel | 76 |
| 47 | PAVLIČ Marko | 65 |
| 48 | HUDRY Florian | 57 |
| 52 | HADARI Zohar | 58 |
| 53 | SOLOMON Zemenfes | 66 |
| 54 | GOLDSTEIN Roy | 63 |
| 62 | BONTHUYS Carl | 60 |