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 = 0.6 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Schoofs
1
68 kgBarry
2
77 kgØrn-Kristoff
3
76 kgDahl
4
68 kgRooni
6
72 kgLarsson
12
60 kgVan Kerckhove
15
70 kgMellano
16
65 kgSmith
18
58 kgTammepuu
26
68 kgGrupp
30
67 kgConsolidani
32
59 kgScheldeman
33
66 kgZahálka
34
69 kgWrolich
39
58 kgHeath
47
63 kgPešek
61
67 kgPodluzhnyy
65
71 kgGeerinck
72
67 kgMedina
74
64 kgArjus
80
70 kgFisher
81
77 kgVaľo
86
70 kgFabbri
87
73 kg
1
68 kgBarry
2
77 kgØrn-Kristoff
3
76 kgDahl
4
68 kgRooni
6
72 kgLarsson
12
60 kgVan Kerckhove
15
70 kgMellano
16
65 kgSmith
18
58 kgTammepuu
26
68 kgGrupp
30
67 kgConsolidani
32
59 kgScheldeman
33
66 kgZahálka
34
69 kgWrolich
39
58 kgHeath
47
63 kgPešek
61
67 kgPodluzhnyy
65
71 kgGeerinck
72
67 kgMedina
74
64 kgArjus
80
70 kgFisher
81
77 kgVaľo
86
70 kgFabbri
87
73 kg
Weight (KG) →
Result →
77
58
1
87
# | Rider | Weight (KG) |
---|---|---|
1 | SCHOOFS Jasper | 68 |
2 | BARRY Ashlin | 77 |
3 | ØRN-KRISTOFF Felix | 76 |
4 | DAHL Marius Innhaug | 68 |
6 | ROONI Ron | 72 |
12 | LARSSON Linus | 60 |
15 | VAN KERCKHOVE Matisse | 70 |
16 | MELLANO Ludovico Maria | 65 |
18 | SMITH Jeremy | 58 |
26 | TAMMEPUU Riko | 68 |
30 | GRUPP Louis | 67 |
32 | CONSOLIDANI Leonardo | 59 |
33 | SCHELDEMAN Xander | 66 |
34 | ZAHÁLKA Štěpán | 69 |
39 | WROLICH Manolo | 58 |
47 | HEATH Will | 63 |
61 | PEŠEK Adam | 67 |
65 | PODLUZHNYY Mikhail | 71 |
72 | GEERINCK Seppe | 67 |
74 | MEDINA Joaquin | 64 |
80 | ARJUS Henri | 70 |
81 | FISHER Sam | 77 |
86 | VAĽO Roman | 70 |
87 | FABBRI Julius | 73 |