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 = 0.3 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Vine
1
69 kgLutsenko
2
74 kgZwiehoff
4
61 kgLangellotti
5
64 kgTejada
7
63 kgPellizzari
8
66 kgMattheis
10
66 kgKonrad
11
64 kgLipowitz
12
68 kgAparicio
13
69 kgTeugels
14
64 kgReyes
15
55 kgBadilatti
17
62 kgGuerin
18
64 kgSowinski
19
63 kgFranco
20
58 kgStosz
21
70 kgNolde
22
79 kgMurias
25
65 kgMeurisse
26
71 kgTercero
27
65 kgMarchand
29
61 kgDenz
30
71 kgVerwilt
32
76 kg
1
69 kgLutsenko
2
74 kgZwiehoff
4
61 kgLangellotti
5
64 kgTejada
7
63 kgPellizzari
8
66 kgMattheis
10
66 kgKonrad
11
64 kgLipowitz
12
68 kgAparicio
13
69 kgTeugels
14
64 kgReyes
15
55 kgBadilatti
17
62 kgGuerin
18
64 kgSowinski
19
63 kgFranco
20
58 kgStosz
21
70 kgNolde
22
79 kgMurias
25
65 kgMeurisse
26
71 kgTercero
27
65 kgMarchand
29
61 kgDenz
30
71 kgVerwilt
32
76 kg
Weight (KG) →
Result →
79
55
1
32
# | Rider | Weight (KG) |
---|---|---|
1 | VINE Jay | 69 |
2 | LUTSENKO Alexey | 74 |
4 | ZWIEHOFF Ben | 61 |
5 | LANGELLOTTI Victor | 64 |
7 | TEJADA Harold | 63 |
8 | PELLIZZARI Giulio | 66 |
10 | MATTHEIS Oliver | 66 |
11 | KONRAD Patrick | 64 |
12 | LIPOWITZ Florian | 68 |
13 | APARICIO Mario | 69 |
14 | TEUGELS Lennert | 64 |
15 | REYES Aldemar | 55 |
17 | BADILATTI Matteo | 62 |
18 | GUERIN Alexis | 64 |
19 | SOWINSKI Artur | 63 |
20 | FRANCO Alejandro | 58 |
21 | STOSZ Patryk | 70 |
22 | NOLDE Tobias | 79 |
25 | MURIAS Jakub | 65 |
26 | MEURISSE Xandro | 71 |
27 | TERCERO Fernando | 65 |
29 | MARCHAND Gianni | 61 |
30 | DENZ Nico | 71 |
32 | VERWILT Mauro | 76 |