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 - 19
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Derksen
7
58 kgLöer
8
69 kgKessler
16
78 kgBackofen
18
62 kgWirtgen
19
77 kgReutter
21
72 kgKämna
24
65 kgBarta
25
61 kgLeinau
31
70 kgMeiler
36
65 kgKoch
37
68 kgWeinzheimer
45
67 kgPorzner
48
75 kgWinter
52
72 kgFranz
55
62 kgTschernoster
56
62 kgGidich
62
69 kgFrahm
69
90 kgDoets
70
73 kgBerger
71
66 kgRohde
72
72 kgvan den Berg
73
78 kgJägeler
85
71 kgVeltman
87
66 kg
7
58 kgLöer
8
69 kgKessler
16
78 kgBackofen
18
62 kgWirtgen
19
77 kgReutter
21
72 kgKämna
24
65 kgBarta
25
61 kgLeinau
31
70 kgMeiler
36
65 kgKoch
37
68 kgWeinzheimer
45
67 kgPorzner
48
75 kgWinter
52
72 kgFranz
55
62 kgTschernoster
56
62 kgGidich
62
69 kgFrahm
69
90 kgDoets
70
73 kgBerger
71
66 kgRohde
72
72 kgvan den Berg
73
78 kgJägeler
85
71 kgVeltman
87
66 kg
Weight (KG) →
Result →
90
58
7
87
# | Rider | Weight (KG) |
---|---|---|
7 | DERKSEN Luke | 58 |
8 | LÖER Lukas | 69 |
16 | KESSLER Robert | 78 |
18 | BACKOFEN Moritz | 62 |
19 | WIRTGEN Tom | 77 |
21 | REUTTER Sven | 72 |
24 | KÄMNA Lennard | 65 |
25 | BARTA Will | 61 |
31 | LEINAU Louis | 70 |
36 | MEILER Lukas | 65 |
37 | KOCH Christian | 68 |
45 | WEINZHEIMER Richard | 67 |
48 | PORZNER Manuel | 75 |
52 | WINTER Laurin | 72 |
55 | FRANZ Marcel | 62 |
56 | TSCHERNOSTER Jan | 62 |
62 | GIDICH Yevgeniy | 69 |
69 | FRAHM Jasper | 90 |
70 | DOETS Marco | 73 |
71 | BERGER Leon | 66 |
72 | ROHDE Louis | 72 |
73 | VAN DEN BERG Julius | 78 |
85 | JÄGELER Robert | 71 |
87 | VELTMAN Milan | 66 |