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 = -0.3 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kangangi
2
64 kgAreruya
3
74 kgEyob
4
61 kgOkubamariam
6
60 kgGhebreigzabhier
9
68 kgAfewerki
12
63 kgLagab
22
63 kgMugisha
28
62 kgGoldstein
35
61 kgBosch
43
76 kgBoivin
44
78 kgHadari
48
58 kgGoldstein
49
63 kgHudry
50
57 kgAmanuel
51
63 kgPavlič
53
65 kgSolomon
55
66 kgBonthuys
63
60 kg
2
64 kgAreruya
3
74 kgEyob
4
61 kgOkubamariam
6
60 kgGhebreigzabhier
9
68 kgAfewerki
12
63 kgLagab
22
63 kgMugisha
28
62 kgGoldstein
35
61 kgBosch
43
76 kgBoivin
44
78 kgHadari
48
58 kgGoldstein
49
63 kgHudry
50
57 kgAmanuel
51
63 kgPavlič
53
65 kgSolomon
55
66 kgBonthuys
63
60 kg
Weight (KG) →
Result →
78
57
2
63
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KANGANGI Suleiman | 64 |
| 3 | ARERUYA Joseph | 74 |
| 4 | EYOB Metkel | 61 |
| 6 | OKUBAMARIAM Tesfom | 60 |
| 9 | GHEBREIGZABHIER Amanuel | 68 |
| 12 | AFEWERKI Elyas | 63 |
| 22 | LAGAB Azzedine | 63 |
| 28 | MUGISHA Samuel | 62 |
| 35 | GOLDSTEIN Omer | 61 |
| 43 | BOSCH Manuel | 76 |
| 44 | BOIVIN Guillaume | 78 |
| 48 | HADARI Zohar | 58 |
| 49 | GOLDSTEIN Roy | 63 |
| 50 | HUDRY Florian | 57 |
| 51 | AMANUEL Meron | 63 |
| 53 | PAVLIČ Marko | 65 |
| 55 | SOLOMON Zemenfes | 66 |
| 63 | BONTHUYS Carl | 60 |