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 = -0.2 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Areruya
2
74 kgEyob
3
61 kgOkubamariam
4
60 kgGhebreigzabhier
9
68 kgLagab
10
63 kgKangangi
17
64 kgGoldstein
19
61 kgAfewerki
24
63 kgMugisha
33
62 kgBosch
36
76 kgAmanuel
40
63 kgSolomon
47
66 kgBonthuys
52
60 kgHudry
55
57 kgBoivin
56
78 kgGoldstein
58
63 kgHadari
60
58 kgPavlič
61
65 kg
2
74 kgEyob
3
61 kgOkubamariam
4
60 kgGhebreigzabhier
9
68 kgLagab
10
63 kgKangangi
17
64 kgGoldstein
19
61 kgAfewerki
24
63 kgMugisha
33
62 kgBosch
36
76 kgAmanuel
40
63 kgSolomon
47
66 kgBonthuys
52
60 kgHudry
55
57 kgBoivin
56
78 kgGoldstein
58
63 kgHadari
60
58 kgPavlič
61
65 kg
Weight (KG) →
Result →
78
57
2
61
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ARERUYA Joseph | 74 |
| 3 | EYOB Metkel | 61 |
| 4 | OKUBAMARIAM Tesfom | 60 |
| 9 | GHEBREIGZABHIER Amanuel | 68 |
| 10 | LAGAB Azzedine | 63 |
| 17 | KANGANGI Suleiman | 64 |
| 19 | GOLDSTEIN Omer | 61 |
| 24 | AFEWERKI Elyas | 63 |
| 33 | MUGISHA Samuel | 62 |
| 36 | BOSCH Manuel | 76 |
| 40 | AMANUEL Meron | 63 |
| 47 | SOLOMON Zemenfes | 66 |
| 52 | BONTHUYS Carl | 60 |
| 55 | HUDRY Florian | 57 |
| 56 | BOIVIN Guillaume | 78 |
| 58 | GOLDSTEIN Roy | 63 |
| 60 | HADARI Zohar | 58 |
| 61 | PAVLIČ Marko | 65 |