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 + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Fetter
1
70 kgFinkšt
2
70 kgRajović
3
74 kgBogusławski
4
77 kgVan Kerckhove
6
70 kgBickmore
7
74 kgPajur
11
78 kgThornley
12
76 kgColeman
14
70 kgBoichis
18
68 kgStolić
19
73 kgSuter
22
75 kgSchwarzbacher
24
72 kgPelikán
25
76 kgMattio
26
70 kgRöber
27
68 kgStewart
28
70 kgKonychev
29
76 kg
1
70 kgFinkšt
2
70 kgRajović
3
74 kgBogusławski
4
77 kgVan Kerckhove
6
70 kgBickmore
7
74 kgPajur
11
78 kgThornley
12
76 kgColeman
14
70 kgBoichis
18
68 kgStolić
19
73 kgSuter
22
75 kgSchwarzbacher
24
72 kgPelikán
25
76 kgMattio
26
70 kgRöber
27
68 kgStewart
28
70 kgKonychev
29
76 kg
Weight (KG) →
Result →
78
68
1
29
# | Rider | Weight (KG) |
---|---|---|
1 | FETTER Erik | 70 |
2 | FINKŠT Tilen | 70 |
3 | RAJOVIĆ Dušan | 74 |
4 | BOGUSŁAWSKI Marceli | 77 |
6 | VAN KERCKHOVE Matisse | 70 |
7 | BICKMORE Cade | 74 |
11 | PAJUR Romet | 78 |
12 | THORNLEY Callum | 76 |
14 | COLEMAN Zak | 70 |
18 | BOICHIS Adrien | 68 |
19 | STOLIĆ Mihajlo | 73 |
22 | SUTER Joel | 75 |
24 | SCHWARZBACHER Matthias | 72 |
25 | PELIKÁN János | 76 |
26 | MATTIO Pietro | 70 |
27 | RÖBER Dominik | 68 |
28 | STEWART Mark | 70 |
29 | KONYCHEV Alexander | 76 |