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 = 0.8 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Sevilla
1
62 kgVorganov
2
65 kgRamirez
3
69 kgChirico
5
58 kgBazhkou
6
65 kgAlmeida
9
63 kgZahiri
11
57 kgBalykin
12
68 kgÖrken
13
69 kgSamli
19
75 kgIvashkin
21
73 kgTiryaki
23
67 kgAkdilek
34
68 kgKüçükbay
39
70 kgAndreev
41
63 kgMihailov
42
68 kgCholakov
43
66 kgRavanelli
48
66 kgVargas
49
69 kgArango
51
62 kg
1
62 kgVorganov
2
65 kgRamirez
3
69 kgChirico
5
58 kgBazhkou
6
65 kgAlmeida
9
63 kgZahiri
11
57 kgBalykin
12
68 kgÖrken
13
69 kgSamli
19
75 kgIvashkin
21
73 kgTiryaki
23
67 kgAkdilek
34
68 kgKüçükbay
39
70 kgAndreev
41
63 kgMihailov
42
68 kgCholakov
43
66 kgRavanelli
48
66 kgVargas
49
69 kgArango
51
62 kg
Weight (KG) →
Result →
75
57
1
51
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | VORGANOV Eduard | 65 |
| 3 | RAMIREZ Brayan Steven | 69 |
| 5 | CHIRICO Luca | 58 |
| 6 | BAZHKOU Stanislau | 65 |
| 9 | ALMEIDA João | 63 |
| 11 | ZAHIRI Abderrahim | 57 |
| 12 | BALYKIN Ivan | 68 |
| 13 | ÖRKEN Ahmet | 69 |
| 19 | SAMLI Feritcan | 75 |
| 21 | IVASHKIN Anton | 73 |
| 23 | TIRYAKI Oguzhan | 67 |
| 34 | AKDILEK Ahmet | 68 |
| 39 | KÜÇÜKBAY Kemal | 70 |
| 41 | ANDREEV Yordan | 63 |
| 42 | MIHAILOV Mihail | 68 |
| 43 | CHOLAKOV Stanimir | 66 |
| 48 | RAVANELLI Simone | 66 |
| 49 | VARGAS Walter | 69 |
| 51 | ARANGO Juan Esteban | 62 |