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 + 19
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Averin
4
74 kgHirt
6
62 kgShimizu
8
60 kgMcconvey
9
67 kgBroeckx
10
73 kgKozhatayev
13
62 kgFonte
14
60 kgRubio
15
81 kgGodrie
17
74 kgBizhigitov
19
76 kgMonier
20
75 kgVilela
21
59 kgBarbero
22
66 kgVaitkus
23
75 kgvan der Haar
25
58 kgAsadov
26
77 kgFoliforov
27
61 kgReinhardt
28
72 kgHatsuyama
29
59 kgSilvestre
30
78 kgLiepiņš
33
67 kgVasilyev
35
70 kgDe Bie
36
65 kg
4
74 kgHirt
6
62 kgShimizu
8
60 kgMcconvey
9
67 kgBroeckx
10
73 kgKozhatayev
13
62 kgFonte
14
60 kgRubio
15
81 kgGodrie
17
74 kgBizhigitov
19
76 kgMonier
20
75 kgVilela
21
59 kgBarbero
22
66 kgVaitkus
23
75 kgvan der Haar
25
58 kgAsadov
26
77 kgFoliforov
27
61 kgReinhardt
28
72 kgHatsuyama
29
59 kgSilvestre
30
78 kgLiepiņš
33
67 kgVasilyev
35
70 kgDe Bie
36
65 kg
Weight (KG) →
Result →
81
58
4
36
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | AVERIN Maksym | 74 |
| 6 | HIRT Jan | 62 |
| 8 | SHIMIZU Miyataka | 60 |
| 9 | MCCONVEY Connor | 67 |
| 10 | BROECKX Stig | 73 |
| 13 | KOZHATAYEV Bakhtiyar | 62 |
| 14 | FONTE César | 60 |
| 15 | RUBIO Diego | 81 |
| 17 | GODRIE Stan | 74 |
| 19 | BIZHIGITOV Zhandos | 76 |
| 20 | MONIER Damien | 75 |
| 21 | VILELA Ricardo | 59 |
| 22 | BARBERO Carlos | 66 |
| 23 | VAITKUS Tomas | 75 |
| 25 | VAN DER HAAR Lars | 58 |
| 26 | ASADOV Elchin | 77 |
| 27 | FOLIFOROV Alexander | 61 |
| 28 | REINHARDT Theo | 72 |
| 29 | HATSUYAMA Sho | 59 |
| 30 | SILVESTRE Fábio | 78 |
| 33 | LIEPIŅŠ Emīls | 67 |
| 35 | VASILYEV Maksym | 70 |
| 36 | DE BIE Sean | 65 |