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 = -1.6 * weight + 134
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Areruya
1
74 kgBoivin
2
78 kgOkubamariam
6
60 kgEyob
10
61 kgSolomon
11
66 kgLagab
16
63 kgAfewerki
17
63 kgGhebreigzabhier
20
68 kgAmanuel
24
63 kgKangangi
26
64 kgMugisha
27
62 kgGoldstein
34
61 kgBosch
35
76 kgPavlič
43
65 kgHudry
52
57 kgBonthuys
56
60 kgHadari
62
58 kgGoldstein
68
63 kg
1
74 kgBoivin
2
78 kgOkubamariam
6
60 kgEyob
10
61 kgSolomon
11
66 kgLagab
16
63 kgAfewerki
17
63 kgGhebreigzabhier
20
68 kgAmanuel
24
63 kgKangangi
26
64 kgMugisha
27
62 kgGoldstein
34
61 kgBosch
35
76 kgPavlič
43
65 kgHudry
52
57 kgBonthuys
56
60 kgHadari
62
58 kgGoldstein
68
63 kg
Weight (KG) →
Result →
78
57
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARERUYA Joseph | 74 |
| 2 | BOIVIN Guillaume | 78 |
| 6 | OKUBAMARIAM Tesfom | 60 |
| 10 | EYOB Metkel | 61 |
| 11 | SOLOMON Zemenfes | 66 |
| 16 | LAGAB Azzedine | 63 |
| 17 | AFEWERKI Elyas | 63 |
| 20 | GHEBREIGZABHIER Amanuel | 68 |
| 24 | AMANUEL Meron | 63 |
| 26 | KANGANGI Suleiman | 64 |
| 27 | MUGISHA Samuel | 62 |
| 34 | GOLDSTEIN Omer | 61 |
| 35 | BOSCH Manuel | 76 |
| 43 | PAVLIČ Marko | 65 |
| 52 | HUDRY Florian | 57 |
| 56 | BONTHUYS Carl | 60 |
| 62 | HADARI Zohar | 58 |
| 68 | GOLDSTEIN Roy | 63 |