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 = 0.6 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Balykin
1
68 kgKüçükbay
2
70 kgÖrken
3
69 kgVorganov
8
65 kgSevilla
9
62 kgArango
10
62 kgBazhkou
11
65 kgZahiri
12
57 kgRamirez
13
69 kgChirico
14
58 kgAlmeida
17
63 kgIvashkin
22
73 kgVargas
26
69 kgRavanelli
27
66 kgCholakov
29
66 kgMihailov
30
68 kgSamli
34
75 kgTiryaki
37
67 kgAndreev
49
63 kgAkdilek
53
68 kg
1
68 kgKüçükbay
2
70 kgÖrken
3
69 kgVorganov
8
65 kgSevilla
9
62 kgArango
10
62 kgBazhkou
11
65 kgZahiri
12
57 kgRamirez
13
69 kgChirico
14
58 kgAlmeida
17
63 kgIvashkin
22
73 kgVargas
26
69 kgRavanelli
27
66 kgCholakov
29
66 kgMihailov
30
68 kgSamli
34
75 kgTiryaki
37
67 kgAndreev
49
63 kgAkdilek
53
68 kg
Weight (KG) →
Result →
75
57
1
53
# | Rider | Weight (KG) |
---|---|---|
1 | BALYKIN Ivan | 68 |
2 | KÜÇÜKBAY Kemal | 70 |
3 | ÖRKEN Ahmet | 69 |
8 | VORGANOV Eduard | 65 |
9 | SEVILLA Óscar | 62 |
10 | ARANGO Juan Esteban | 62 |
11 | BAZHKOU Stanislau | 65 |
12 | ZAHIRI Abderrahim | 57 |
13 | RAMIREZ Brayan Steven | 69 |
14 | CHIRICO Luca | 58 |
17 | ALMEIDA João | 63 |
22 | IVASHKIN Anton | 73 |
26 | VARGAS Walter | 69 |
27 | RAVANELLI Simone | 66 |
29 | CHOLAKOV Stanimir | 66 |
30 | MIHAILOV Mihail | 68 |
34 | SAMLI Feritcan | 75 |
37 | TIRYAKI Oguzhan | 67 |
49 | ANDREEV Yordan | 63 |
53 | AKDILEK Ahmet | 68 |