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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Ariesen
1
70 kgKaňkovský
2
83 kgHurel
3
66 kgBonifazio
4
63 kgDe Decker
6
68 kgVingegaard
7
58 kgFolsach
8
81 kgGibson
9
76 kgKragh Andersen
10
72 kgČerný
11
75 kgVinjebo
13
67 kgFarantakis
14
62 kgKamp
17
74 kgBoyer
18
67 kgProdhomme
20
63 kgMorin
21
74 kgFerasse
24
61 kgNõmmela
25
69 kgDonders
29
76 kg
1
70 kgKaňkovský
2
83 kgHurel
3
66 kgBonifazio
4
63 kgDe Decker
6
68 kgVingegaard
7
58 kgFolsach
8
81 kgGibson
9
76 kgKragh Andersen
10
72 kgČerný
11
75 kgVinjebo
13
67 kgFarantakis
14
62 kgKamp
17
74 kgBoyer
18
67 kgProdhomme
20
63 kgMorin
21
74 kgFerasse
24
61 kgNõmmela
25
69 kgDonders
29
76 kg
Weight (KG) →
Result →
83
58
1
29
# | Rider | Weight (KG) |
---|---|---|
1 | ARIESEN Johim | 70 |
2 | KAŇKOVSKÝ Alois | 83 |
3 | HUREL Tony | 66 |
4 | BONIFAZIO Leonardo | 63 |
6 | DE DECKER Alfdan | 68 |
7 | VINGEGAARD Jonas | 58 |
8 | FOLSACH Casper | 81 |
9 | GIBSON Matthew | 76 |
10 | KRAGH ANDERSEN Asbjørn | 72 |
11 | ČERNÝ Josef | 75 |
13 | VINJEBO Emil Mielke | 67 |
14 | FARANTAKIS Stylianos | 62 |
17 | KAMP Alexander | 74 |
18 | BOYER Kevin | 67 |
20 | PRODHOMME Nicolas | 63 |
21 | MORIN Emmanuel | 74 |
24 | FERASSE Thibault | 61 |
25 | NÕMMELA Aksel | 69 |
29 | DONDERS Jelle | 76 |