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 = -0.1 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Raileanu
2
63 kgMiltiadis
4
74 kgKhalmuratov
6
68 kgAlblooshi
8
60 kgTsvetkov
9
67 kgBocharov
10
72 kgRemkhi
11
60 kgLagab
13
63 kgSalby
16
68 kgBobosherov
20
71 kgNobel
21
78 kgvan der Meer
24
82 kgTsishkou
29
72 kgTakhirov
36
71 kgVoropayev
38
57 kgTroman
43
68 kgAlabdulmunim
59
64 kgAliyev
79
67 kg
2
63 kgMiltiadis
4
74 kgKhalmuratov
6
68 kgAlblooshi
8
60 kgTsvetkov
9
67 kgBocharov
10
72 kgRemkhi
11
60 kgLagab
13
63 kgSalby
16
68 kgBobosherov
20
71 kgNobel
21
78 kgvan der Meer
24
82 kgTsishkou
29
72 kgTakhirov
36
71 kgVoropayev
38
57 kgTroman
43
68 kgAlabdulmunim
59
64 kgAliyev
79
67 kg
Weight (KG) →
Result →
82
57
2
79
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAILEANU Cristian | 63 |
| 4 | MILTIADIS Andreas | 74 |
| 6 | KHALMURATOV Muradjan | 68 |
| 8 | ALBLOOSHI Rashid | 60 |
| 9 | TSVETKOV Nikita | 67 |
| 10 | BOCHAROV Dmitriy | 72 |
| 11 | REMKHI Rudolf | 60 |
| 13 | LAGAB Azzedine | 63 |
| 16 | SALBY Alexander | 68 |
| 20 | BOBOSHEROV Farrukh | 71 |
| 21 | NOBEL Rick | 78 |
| 24 | VAN DER MEER Nick | 82 |
| 29 | TSISHKOU Raman | 72 |
| 36 | TAKHIROV Diyor | 71 |
| 38 | VOROPAYEV Pavel | 57 |
| 43 | TROMAN Vladislav | 68 |
| 59 | ALABDULMUNIM Azzam | 64 |
| 79 | ALIYEV Ruslan | 67 |