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 = -1.9 * weight + 152
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Ghebreigzabhier
2
68 kgAreruya
3
74 kgBoivin
4
78 kgAmanuel
11
63 kgOkubamariam
12
60 kgKangangi
15
64 kgMugisha
16
62 kgLagab
23
63 kgEyob
24
61 kgSolomon
25
66 kgGoldstein
30
61 kgBosch
31
76 kgPavlič
44
65 kgGoldstein
49
63 kgAfewerki
53
63 kgHudry
55
57 kgBonthuys
60
60 kgHadari
67
58 kg
2
68 kgAreruya
3
74 kgBoivin
4
78 kgAmanuel
11
63 kgOkubamariam
12
60 kgKangangi
15
64 kgMugisha
16
62 kgLagab
23
63 kgEyob
24
61 kgSolomon
25
66 kgGoldstein
30
61 kgBosch
31
76 kgPavlič
44
65 kgGoldstein
49
63 kgAfewerki
53
63 kgHudry
55
57 kgBonthuys
60
60 kgHadari
67
58 kg
Weight (KG) →
Result →
78
57
2
67
# | Rider | Weight (KG) |
---|---|---|
2 | GHEBREIGZABHIER Amanuel | 68 |
3 | ARERUYA Joseph | 74 |
4 | BOIVIN Guillaume | 78 |
11 | AMANUEL Meron | 63 |
12 | OKUBAMARIAM Tesfom | 60 |
15 | KANGANGI Suleiman | 64 |
16 | MUGISHA Samuel | 62 |
23 | LAGAB Azzedine | 63 |
24 | EYOB Metkel | 61 |
25 | SOLOMON Zemenfes | 66 |
30 | GOLDSTEIN Omer | 61 |
31 | BOSCH Manuel | 76 |
44 | PAVLIČ Marko | 65 |
49 | GOLDSTEIN Roy | 63 |
53 | AFEWERKI Elyas | 63 |
55 | HUDRY Florian | 57 |
60 | BONTHUYS Carl | 60 |
67 | HADARI Zohar | 58 |