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 = -0.3 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Finkšt
1
70 kgFetter
2
70 kgRajović
3
74 kgBogusławski
6
77 kgBoichis
7
68 kgConti
9
61 kgThornley
10
76 kgBickmore
11
74 kgForster
14
68 kgPękala
16
65 kgPajur
17
78 kgColeman
21
70 kgStolić
26
73 kgStewart
27
70 kgAdamietz
30
61 kgSuter
31
75 kgSchwarzbacher
35
72 kgGathemann
36
62 kgPelikán
37
76 kgAvancini
38
64 kgMattio
39
70 kgKonychev
41
76 kgRöber
42
68 kg
1
70 kgFetter
2
70 kgRajović
3
74 kgBogusławski
6
77 kgBoichis
7
68 kgConti
9
61 kgThornley
10
76 kgBickmore
11
74 kgForster
14
68 kgPękala
16
65 kgPajur
17
78 kgColeman
21
70 kgStolić
26
73 kgStewart
27
70 kgAdamietz
30
61 kgSuter
31
75 kgSchwarzbacher
35
72 kgGathemann
36
62 kgPelikán
37
76 kgAvancini
38
64 kgMattio
39
70 kgKonychev
41
76 kgRöber
42
68 kg
Weight (KG) →
Result →
78
61
1
42
# | Rider | Weight (KG) |
---|---|---|
1 | FINKŠT Tilen | 70 |
2 | FETTER Erik | 70 |
3 | RAJOVIĆ Dušan | 74 |
6 | BOGUSŁAWSKI Marceli | 77 |
7 | BOICHIS Adrien | 68 |
9 | CONTI Valerio | 61 |
10 | THORNLEY Callum | 76 |
11 | BICKMORE Cade | 74 |
14 | FORSTER Lars | 68 |
16 | PĘKALA Piotr | 65 |
17 | PAJUR Romet | 78 |
21 | COLEMAN Zak | 70 |
26 | STOLIĆ Mihajlo | 73 |
27 | STEWART Mark | 70 |
30 | ADAMIETZ Johannes | 61 |
31 | SUTER Joel | 75 |
35 | SCHWARZBACHER Matthias | 72 |
36 | GATHEMANN Albert | 62 |
37 | PELIKÁN János | 76 |
38 | AVANCINI Henrique da Silva | 64 |
39 | MATTIO Pietro | 70 |
41 | KONYCHEV Alexander | 76 |
42 | RÖBER Dominik | 68 |