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 = 0.9 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Wirtgen
3
77 kgKämna
4
65 kgReutter
8
72 kgLöer
9
69 kgMeiler
15
65 kgBarta
16
61 kgBackofen
19
62 kgLeinau
23
70 kgKoch
24
68 kgKessler
27
78 kgDerksen
30
58 kgTschernoster
39
62 kgPorzner
42
75 kgFranz
44
62 kgWinter
47
72 kgWeinzheimer
57
67 kgGidich
59
69 kgBerger
63
66 kgFrahm
64
90 kgDoets
65
73 kgRohde
70
72 kgvan den Berg
72
78 kgVeltman
82
66 kgJägeler
83
71 kg
3
77 kgKämna
4
65 kgReutter
8
72 kgLöer
9
69 kgMeiler
15
65 kgBarta
16
61 kgBackofen
19
62 kgLeinau
23
70 kgKoch
24
68 kgKessler
27
78 kgDerksen
30
58 kgTschernoster
39
62 kgPorzner
42
75 kgFranz
44
62 kgWinter
47
72 kgWeinzheimer
57
67 kgGidich
59
69 kgBerger
63
66 kgFrahm
64
90 kgDoets
65
73 kgRohde
70
72 kgvan den Berg
72
78 kgVeltman
82
66 kgJägeler
83
71 kg
Weight (KG) →
Result →
90
58
3
83
# | Rider | Weight (KG) |
---|---|---|
3 | WIRTGEN Tom | 77 |
4 | KÄMNA Lennard | 65 |
8 | REUTTER Sven | 72 |
9 | LÖER Lukas | 69 |
15 | MEILER Lukas | 65 |
16 | BARTA Will | 61 |
19 | BACKOFEN Moritz | 62 |
23 | LEINAU Louis | 70 |
24 | KOCH Christian | 68 |
27 | KESSLER Robert | 78 |
30 | DERKSEN Luke | 58 |
39 | TSCHERNOSTER Jan | 62 |
42 | PORZNER Manuel | 75 |
44 | FRANZ Marcel | 62 |
47 | WINTER Laurin | 72 |
57 | WEINZHEIMER Richard | 67 |
59 | GIDICH Yevgeniy | 69 |
63 | BERGER Leon | 66 |
64 | FRAHM Jasper | 90 |
65 | DOETS Marco | 73 |
70 | ROHDE Louis | 72 |
72 | VAN DEN BERG Julius | 78 |
82 | VELTMAN Milan | 66 |
83 | JÄGELER Robert | 71 |