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 = -0.5 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Areruya
1
74 kgGhebreigzabhier
3
68 kgOkubamariam
4
60 kgEyob
6
61 kgAmanuel
7
63 kgKangangi
10
64 kgLagab
22
63 kgMugisha
23
62 kgAfewerki
28
63 kgBosch
34
76 kgHudry
45
57 kgBoivin
51
78 kgGoldstein
53
63 kgGoldstein
54
61 kgHadari
58
58 kgPavlič
59
65 kgBonthuys
62
60 kg
1
74 kgGhebreigzabhier
3
68 kgOkubamariam
4
60 kgEyob
6
61 kgAmanuel
7
63 kgKangangi
10
64 kgLagab
22
63 kgMugisha
23
62 kgAfewerki
28
63 kgBosch
34
76 kgHudry
45
57 kgBoivin
51
78 kgGoldstein
53
63 kgGoldstein
54
61 kgHadari
58
58 kgPavlič
59
65 kgBonthuys
62
60 kg
Weight (KG) →
Result →
78
57
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARERUYA Joseph | 74 |
| 3 | GHEBREIGZABHIER Amanuel | 68 |
| 4 | OKUBAMARIAM Tesfom | 60 |
| 6 | EYOB Metkel | 61 |
| 7 | AMANUEL Meron | 63 |
| 10 | KANGANGI Suleiman | 64 |
| 22 | LAGAB Azzedine | 63 |
| 23 | MUGISHA Samuel | 62 |
| 28 | AFEWERKI Elyas | 63 |
| 34 | BOSCH Manuel | 76 |
| 45 | HUDRY Florian | 57 |
| 51 | BOIVIN Guillaume | 78 |
| 53 | GOLDSTEIN Roy | 63 |
| 54 | GOLDSTEIN Omer | 61 |
| 58 | HADARI Zohar | 58 |
| 59 | PAVLIČ Marko | 65 |
| 62 | BONTHUYS Carl | 60 |