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 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Devolder
1
72 kgKashechkin
2
70 kgVan Goolen
3
70 kgMutsaars
4
67 kgVan Huffel
5
66 kgDe Weert
7
70 kgBoonen
9
82 kgAbakoumov
11
68 kgSteegmans
20
82 kgSentjens
25
75 kgCoenen
31
67 kgMuravyev
32
75 kgRosseler
40
78 kgWillems
43
67 kgNuyens
47
68 kgLarsson
55
77 kgKuyckx
60
68 kgVansummeren
67
79 kgten Dam
70
67 kgWeening
71
68 kgDekkers
72
72 kgMertens
85
67 kgLisabeth
99
75 kg
1
72 kgKashechkin
2
70 kgVan Goolen
3
70 kgMutsaars
4
67 kgVan Huffel
5
66 kgDe Weert
7
70 kgBoonen
9
82 kgAbakoumov
11
68 kgSteegmans
20
82 kgSentjens
25
75 kgCoenen
31
67 kgMuravyev
32
75 kgRosseler
40
78 kgWillems
43
67 kgNuyens
47
68 kgLarsson
55
77 kgKuyckx
60
68 kgVansummeren
67
79 kgten Dam
70
67 kgWeening
71
68 kgDekkers
72
72 kgMertens
85
67 kgLisabeth
99
75 kg
Weight (KG) →
Result →
82
66
1
99
# | Rider | Weight (KG) |
---|---|---|
1 | DEVOLDER Stijn | 72 |
2 | KASHECHKIN Andrey | 70 |
3 | VAN GOOLEN Jurgen | 70 |
4 | MUTSAARS Ronald | 67 |
5 | VAN HUFFEL Wim | 66 |
7 | DE WEERT Kevin | 70 |
9 | BOONEN Tom | 82 |
11 | ABAKOUMOV Igor | 68 |
20 | STEEGMANS Gert | 82 |
25 | SENTJENS Roy | 75 |
31 | COENEN Johan | 67 |
32 | MURAVYEV Dmitriy | 75 |
40 | ROSSELER Sébastien | 78 |
43 | WILLEMS Frederik | 67 |
47 | NUYENS Nick | 68 |
55 | LARSSON Gustav Erik | 77 |
60 | KUYCKX Jan | 68 |
67 | VANSUMMEREN Johan | 79 |
70 | TEN DAM Laurens | 67 |
71 | WEENING Pieter | 68 |
72 | DEKKERS Hans | 72 |
85 | MERTENS Pieter | 67 |
99 | LISABETH Kenny | 75 |