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 = -1.7 * weight + 138
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Boivin
1
78 kgSolomon
2
66 kgOkubamariam
3
60 kgEyob
5
61 kgAfewerki
8
63 kgAreruya
10
74 kgLagab
18
63 kgAmanuel
23
63 kgGhebreigzabhier
24
68 kgBosch
26
76 kgHudry
30
57 kgMugisha
47
62 kgGoldstein
49
61 kgPavlič
50
65 kgKangangi
55
64 kgBonthuys
66
60 kgHadari
67
58 kgGoldstein
68
63 kg
1
78 kgSolomon
2
66 kgOkubamariam
3
60 kgEyob
5
61 kgAfewerki
8
63 kgAreruya
10
74 kgLagab
18
63 kgAmanuel
23
63 kgGhebreigzabhier
24
68 kgBosch
26
76 kgHudry
30
57 kgMugisha
47
62 kgGoldstein
49
61 kgPavlič
50
65 kgKangangi
55
64 kgBonthuys
66
60 kgHadari
67
58 kgGoldstein
68
63 kg
Weight (KG) →
Result →
78
57
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOIVIN Guillaume | 78 |
| 2 | SOLOMON Zemenfes | 66 |
| 3 | OKUBAMARIAM Tesfom | 60 |
| 5 | EYOB Metkel | 61 |
| 8 | AFEWERKI Elyas | 63 |
| 10 | ARERUYA Joseph | 74 |
| 18 | LAGAB Azzedine | 63 |
| 23 | AMANUEL Meron | 63 |
| 24 | GHEBREIGZABHIER Amanuel | 68 |
| 26 | BOSCH Manuel | 76 |
| 30 | HUDRY Florian | 57 |
| 47 | MUGISHA Samuel | 62 |
| 49 | GOLDSTEIN Omer | 61 |
| 50 | PAVLIČ Marko | 65 |
| 55 | KANGANGI Suleiman | 64 |
| 66 | BONTHUYS Carl | 60 |
| 67 | HADARI Zohar | 58 |
| 68 | GOLDSTEIN Roy | 63 |