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 + 33
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Widar
1
54 kgBrennan
4
68 kgVan Mechelen
12
73 kgDe Schuyteneer
13
74 kgvan der Meulen
17
67 kgBaldacci
28
63 kgAskey
29
70 kgVeenings
33
79 kgvan der Werff
36
60 kgHobbs
41
67 kgBrethouwer
45
69 kgKapela
46
70 kgDe Meijts
49
71 kgBolle
62
62 kgKulset
68
58 kgVermeulen
70
72 kgvan Beurden
71
58 kgŁątkowski
80
68 kgAbma
81
86 kgBush
87
58 kgWiggins
92
78 kgPrestianni
105
64 kg
1
54 kgBrennan
4
68 kgVan Mechelen
12
73 kgDe Schuyteneer
13
74 kgvan der Meulen
17
67 kgBaldacci
28
63 kgAskey
29
70 kgVeenings
33
79 kgvan der Werff
36
60 kgHobbs
41
67 kgBrethouwer
45
69 kgKapela
46
70 kgDe Meijts
49
71 kgBolle
62
62 kgKulset
68
58 kgVermeulen
70
72 kgvan Beurden
71
58 kgŁątkowski
80
68 kgAbma
81
86 kgBush
87
58 kgWiggins
92
78 kgPrestianni
105
64 kg
Weight (KG) →
Result →
86
54
1
105
# | Rider | Weight (KG) |
---|---|---|
1 | WIDAR Jarno | 54 |
4 | BRENNAN Matthew | 68 |
12 | VAN MECHELEN Vlad | 73 |
13 | DE SCHUYTENEER Steffen | 74 |
17 | VAN DER MEULEN Max | 67 |
28 | BALDACCI Brandon | 63 |
29 | ASKEY Ben | 70 |
33 | VEENINGS Pepijn | 79 |
36 | VAN DER WERFF Thom | 60 |
41 | HOBBS Noah | 67 |
45 | BRETHOUWER Yorick | 69 |
46 | KAPELA Marek | 70 |
49 | DE MEIJTS Matis | 71 |
62 | BOLLE Bert | 62 |
68 | KULSET Johannes | 58 |
70 | VERMEULEN Arthur | 72 |
71 | VAN BEURDEN Niels | 58 |
80 | ŁĄTKOWSKI Dawid | 68 |
81 | ABMA Elmar | 86 |
87 | BUSH Jacob | 58 |
92 | WIGGINS Ben | 78 |
105 | PRESTIANNI Sacha | 64 |