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 = 0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Okubamariam
1
60 kgEyob
2
61 kgGhebreigzabhier
4
68 kgAfewerki
5
63 kgAreruya
7
74 kgGoldstein
8
61 kgKangangi
13
64 kgLagab
28
63 kgGoldstein
33
63 kgBosch
34
76 kgHudry
38
57 kgBonthuys
41
60 kgMugisha
43
62 kgPavlič
48
65 kgAmanuel
50
63 kgBoivin
52
78 kgHadari
54
58 kg
1
60 kgEyob
2
61 kgGhebreigzabhier
4
68 kgAfewerki
5
63 kgAreruya
7
74 kgGoldstein
8
61 kgKangangi
13
64 kgLagab
28
63 kgGoldstein
33
63 kgBosch
34
76 kgHudry
38
57 kgBonthuys
41
60 kgMugisha
43
62 kgPavlič
48
65 kgAmanuel
50
63 kgBoivin
52
78 kgHadari
54
58 kg
Weight (KG) →
Result →
78
57
1
54
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OKUBAMARIAM Tesfom | 60 |
| 2 | EYOB Metkel | 61 |
| 4 | GHEBREIGZABHIER Amanuel | 68 |
| 5 | AFEWERKI Elyas | 63 |
| 7 | ARERUYA Joseph | 74 |
| 8 | GOLDSTEIN Omer | 61 |
| 13 | KANGANGI Suleiman | 64 |
| 28 | LAGAB Azzedine | 63 |
| 33 | GOLDSTEIN Roy | 63 |
| 34 | BOSCH Manuel | 76 |
| 38 | HUDRY Florian | 57 |
| 41 | BONTHUYS Carl | 60 |
| 43 | MUGISHA Samuel | 62 |
| 48 | PAVLIČ Marko | 65 |
| 50 | AMANUEL Meron | 63 |
| 52 | BOIVIN Guillaume | 78 |
| 54 | HADARI Zohar | 58 |