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 * weight + 15
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Bole
3
69 kgRemkhi
4
60 kgCarstensen
7
69 kgTzortzakis
8
80 kgBouglas
10
71 kgEyob
11
61 kgMagosaki
12
62 kgKhafi
13
65 kgHamdan
14
66 kgPhounsavath
15
67 kgKuzmin
16
66 kgMikayilzade
17
66 kgCahyadi
18
52 kgArvanitou
20
71 kgPliușchin
24
66 kgCavanagh
25
72 kgAliyev
28
67 kgAsadov
29
77 kgOkubamariam
32
60 kg
3
69 kgRemkhi
4
60 kgCarstensen
7
69 kgTzortzakis
8
80 kgBouglas
10
71 kgEyob
11
61 kgMagosaki
12
62 kgKhafi
13
65 kgHamdan
14
66 kgPhounsavath
15
67 kgKuzmin
16
66 kgMikayilzade
17
66 kgCahyadi
18
52 kgArvanitou
20
71 kgPliușchin
24
66 kgCavanagh
25
72 kgAliyev
28
67 kgAsadov
29
77 kgOkubamariam
32
60 kg
Weight (KG) →
Result →
80
52
3
32
# | Rider | Weight (KG) |
---|---|---|
3 | BOLE Grega | 69 |
4 | REMKHI Rudolf | 60 |
7 | CARSTENSEN Lucas | 69 |
8 | TZORTZAKIS Polychronis | 80 |
10 | BOUGLAS Georgios | 71 |
11 | EYOB Metkel | 61 |
12 | MAGOSAKI Daiki | 62 |
13 | KHAFI Oussama | 65 |
14 | HAMDAN Wan Abdul Rahman | 66 |
15 | PHOUNSAVATH Ariya | 67 |
16 | KUZMIN Anton | 66 |
17 | MIKAYILZADE Musa | 66 |
18 | CAHYADI Aiman | 52 |
20 | ARVANITOU Nikiforos | 71 |
24 | PLIUȘCHIN Alexandr | 66 |
25 | CAVANAGH Ryan | 72 |
28 | ALIYEV Ruslan | 67 |
29 | ASADOV Elchin | 77 |
32 | OKUBAMARIAM Tesfom | 60 |