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 = -1 * weight + 109
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Arndt
1
77.5 kgKrauwel
4
77 kgKrieger
5
71 kgSchwarzmann
6
69 kgKoch
12
69 kgChavanne
18
83 kgSütterlin
20
78 kgVan Keirsbulck
22
89 kgLudvigsson
33
76 kgMager
36
60 kgWerda
41
66 kgvan Goethem
51
77 kgMagnusson
53
71 kgNorman Leth
55
75 kgHoller
58
58 kgValgren
66
71 kgKirsch
67
78 kgDe Jonghe
75
69 kgZubov
78
72 kgSavitskiy
79
72 kg
1
77.5 kgKrauwel
4
77 kgKrieger
5
71 kgSchwarzmann
6
69 kgKoch
12
69 kgChavanne
18
83 kgSütterlin
20
78 kgVan Keirsbulck
22
89 kgLudvigsson
33
76 kgMager
36
60 kgWerda
41
66 kgvan Goethem
51
77 kgMagnusson
53
71 kgNorman Leth
55
75 kgHoller
58
58 kgValgren
66
71 kgKirsch
67
78 kgDe Jonghe
75
69 kgZubov
78
72 kgSavitskiy
79
72 kg
Weight (KG) →
Result →
89
58
1
79
# | Rider | Weight (KG) |
---|---|---|
1 | ARNDT Nikias | 77.5 |
4 | KRAUWEL Bas | 77 |
5 | KRIEGER Alexander | 71 |
6 | SCHWARZMANN Michael | 69 |
12 | KOCH Michel | 69 |
18 | CHAVANNE Gabriel | 83 |
20 | SÜTTERLIN Jasha | 78 |
22 | VAN KEIRSBULCK Guillaume | 89 |
33 | LUDVIGSSON Tobias | 76 |
36 | MAGER Christian | 60 |
41 | WERDA Maximilian | 66 |
51 | VAN GOETHEM Brian | 77 |
53 | MAGNUSSON Kim | 71 |
55 | NORMAN LETH Lasse | 75 |
58 | HOLLER Nikodemus | 58 |
66 | VALGREN Michael | 71 |
67 | KIRSCH Alex | 78 |
75 | DE JONGHE Kevin | 69 |
78 | ZUBOV Matvey | 72 |
79 | SAVITSKIY Ivan | 72 |