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 - 5
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Wirtgen
1
77 kgKämna
2
65 kgBerger
6
66 kgLöer
9
69 kgReutter
10
72 kgDoets
15
73 kgBackofen
18
62 kgBarta
26
61 kgGidich
27
69 kgTschernoster
31
62 kgMeiler
32
65 kgLeinau
37
70 kgDerksen
40
58 kgFranz
47
62 kgKessler
49
78 kgRohde
50
72 kgFrahm
52
90 kgvan den Berg
55
78 kgKoch
64
68 kgPorzner
65
75 kgWeinzheimer
66
67 kgJägeler
69
71 kgWinter
71
72 kgVeltman
75
66 kg
1
77 kgKämna
2
65 kgBerger
6
66 kgLöer
9
69 kgReutter
10
72 kgDoets
15
73 kgBackofen
18
62 kgBarta
26
61 kgGidich
27
69 kgTschernoster
31
62 kgMeiler
32
65 kgLeinau
37
70 kgDerksen
40
58 kgFranz
47
62 kgKessler
49
78 kgRohde
50
72 kgFrahm
52
90 kgvan den Berg
55
78 kgKoch
64
68 kgPorzner
65
75 kgWeinzheimer
66
67 kgJägeler
69
71 kgWinter
71
72 kgVeltman
75
66 kg
Weight (KG) →
Result →
90
58
1
75
# | Rider | Weight (KG) |
---|---|---|
1 | WIRTGEN Tom | 77 |
2 | KÄMNA Lennard | 65 |
6 | BERGER Leon | 66 |
9 | LÖER Lukas | 69 |
10 | REUTTER Sven | 72 |
15 | DOETS Marco | 73 |
18 | BACKOFEN Moritz | 62 |
26 | BARTA Will | 61 |
27 | GIDICH Yevgeniy | 69 |
31 | TSCHERNOSTER Jan | 62 |
32 | MEILER Lukas | 65 |
37 | LEINAU Louis | 70 |
40 | DERKSEN Luke | 58 |
47 | FRANZ Marcel | 62 |
49 | KESSLER Robert | 78 |
50 | ROHDE Louis | 72 |
52 | FRAHM Jasper | 90 |
55 | VAN DEN BERG Julius | 78 |
64 | KOCH Christian | 68 |
65 | PORZNER Manuel | 75 |
66 | WEINZHEIMER Richard | 67 |
69 | JÄGELER Robert | 71 |
71 | WINTER Laurin | 72 |
75 | VELTMAN Milan | 66 |