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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kragh Andersen
1
72 kgAriesen
2
70 kgGibson
3
76 kgVinjebo
5
67 kgHurel
6
66 kgKaňkovský
7
83 kgDe Decker
8
68 kgBonifazio
10
63 kgČerný
11
75 kgVingegaard
12
58 kgFolsach
13
81 kgSørensen
14
64 kgNõmmela
15
69 kgKamp
17
74 kgFarantakis
18
62 kgDebeaumarché
19
75 kgFerasse
24
61 kgBoyer
25
67 kgAbrahamsen
26
78 kgProdhomme
27
63 kgMorin
29
74 kgLyhne
34
61 kgDonders
36
76 kg
1
72 kgAriesen
2
70 kgGibson
3
76 kgVinjebo
5
67 kgHurel
6
66 kgKaňkovský
7
83 kgDe Decker
8
68 kgBonifazio
10
63 kgČerný
11
75 kgVingegaard
12
58 kgFolsach
13
81 kgSørensen
14
64 kgNõmmela
15
69 kgKamp
17
74 kgFarantakis
18
62 kgDebeaumarché
19
75 kgFerasse
24
61 kgBoyer
25
67 kgAbrahamsen
26
78 kgProdhomme
27
63 kgMorin
29
74 kgLyhne
34
61 kgDonders
36
76 kg
Weight (KG) →
Result →
83
58
1
36
# | Rider | Weight (KG) |
---|---|---|
1 | KRAGH ANDERSEN Asbjørn | 72 |
2 | ARIESEN Johim | 70 |
3 | GIBSON Matthew | 76 |
5 | VINJEBO Emil Mielke | 67 |
6 | HUREL Tony | 66 |
7 | KAŇKOVSKÝ Alois | 83 |
8 | DE DECKER Alfdan | 68 |
10 | BONIFAZIO Leonardo | 63 |
11 | ČERNÝ Josef | 75 |
12 | VINGEGAARD Jonas | 58 |
13 | FOLSACH Casper | 81 |
14 | SØRENSEN Chris Anker | 64 |
15 | NÕMMELA Aksel | 69 |
17 | KAMP Alexander | 74 |
18 | FARANTAKIS Stylianos | 62 |
19 | DEBEAUMARCHÉ Nicolas | 75 |
24 | FERASSE Thibault | 61 |
25 | BOYER Kevin | 67 |
26 | ABRAHAMSEN Jonas | 78 |
27 | PRODHOMME Nicolas | 63 |
29 | MORIN Emmanuel | 74 |
34 | LYHNE Daniel | 61 |
36 | DONDERS Jelle | 76 |