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 - 103
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Ramirez
1
69 kgSevilla
2
62 kgAlmeida
3
63 kgVorganov
4
65 kgRavanelli
6
66 kgChirico
8
58 kgBazhkou
10
65 kgArango
11
62 kgZahiri
14
57 kgVargas
15
69 kgÖrken
17
69 kgKüçükbay
18
70 kgBalykin
19
68 kgIvashkin
24
73 kgTiryaki
25
67 kgCholakov
29
66 kgMihailov
30
68 kgAndreev
33
63 kgAkdilek
47
68 kgSamli
48
75 kgViejo
51
75 kg
1
69 kgSevilla
2
62 kgAlmeida
3
63 kgVorganov
4
65 kgRavanelli
6
66 kgChirico
8
58 kgBazhkou
10
65 kgArango
11
62 kgZahiri
14
57 kgVargas
15
69 kgÖrken
17
69 kgKüçükbay
18
70 kgBalykin
19
68 kgIvashkin
24
73 kgTiryaki
25
67 kgCholakov
29
66 kgMihailov
30
68 kgAndreev
33
63 kgAkdilek
47
68 kgSamli
48
75 kgViejo
51
75 kg
Weight (KG) →
Result →
75
57
1
51
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAMIREZ Brayan Steven | 69 |
| 2 | SEVILLA Óscar | 62 |
| 3 | ALMEIDA João | 63 |
| 4 | VORGANOV Eduard | 65 |
| 6 | RAVANELLI Simone | 66 |
| 8 | CHIRICO Luca | 58 |
| 10 | BAZHKOU Stanislau | 65 |
| 11 | ARANGO Juan Esteban | 62 |
| 14 | ZAHIRI Abderrahim | 57 |
| 15 | VARGAS Walter | 69 |
| 17 | ÖRKEN Ahmet | 69 |
| 18 | KÜÇÜKBAY Kemal | 70 |
| 19 | BALYKIN Ivan | 68 |
| 24 | IVASHKIN Anton | 73 |
| 25 | TIRYAKI Oguzhan | 67 |
| 29 | CHOLAKOV Stanimir | 66 |
| 30 | MIHAILOV Mihail | 68 |
| 33 | ANDREEV Yordan | 63 |
| 47 | AKDILEK Ahmet | 68 |
| 48 | SAMLI Feritcan | 75 |
| 51 | VIEJO José Daniel | 75 |