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 = -0.2 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Groves
1
76 kgKamp
2
74 kgGate
3
71 kgSisr
4
72 kgMertens
5
67 kgHennessy
6
80 kgLeknessund
7
72 kgGoossens
8
64 kgRekita
10
70 kgThalmann
12
61 kgHoelgaard
13
74 kgKatrašnik
14
69 kgVerschaeve
15
62 kgOrrico
17
70 kgOurselin
18
70 kgVan Gils
19
63 kgSicard
20
63 kgChampoussin
22
61 kgPutt
23
75 kgKrieger
24
71 kgVeyhe
25
77 kgGall
26
66 kgProdhomme
27
63 kgPer
28
81 kg
1
76 kgKamp
2
74 kgGate
3
71 kgSisr
4
72 kgMertens
5
67 kgHennessy
6
80 kgLeknessund
7
72 kgGoossens
8
64 kgRekita
10
70 kgThalmann
12
61 kgHoelgaard
13
74 kgKatrašnik
14
69 kgVerschaeve
15
62 kgOrrico
17
70 kgOurselin
18
70 kgVan Gils
19
63 kgSicard
20
63 kgChampoussin
22
61 kgPutt
23
75 kgKrieger
24
71 kgVeyhe
25
77 kgGall
26
66 kgProdhomme
27
63 kgPer
28
81 kg
Weight (KG) →
Result →
81
61
1
28
# | Rider | Weight (KG) |
---|---|---|
1 | GROVES Kaden | 76 |
2 | KAMP Alexander | 74 |
3 | GATE Aaron | 71 |
4 | SISR František | 72 |
5 | MERTENS Julian | 67 |
6 | HENNESSY Jacob | 80 |
7 | LEKNESSUND Andreas | 72 |
8 | GOOSSENS Kobe | 64 |
10 | REKITA Szymon | 70 |
12 | THALMANN Roland | 61 |
13 | HOELGAARD Markus | 74 |
14 | KATRAŠNIK Gašper | 69 |
15 | VERSCHAEVE Viktor | 62 |
17 | ORRICO Davide | 70 |
18 | OURSELIN Paul | 70 |
19 | VAN GILS Maxim | 63 |
20 | SICARD Romain | 63 |
22 | CHAMPOUSSIN Clément | 61 |
23 | PUTT Tanner | 75 |
24 | KRIEGER Alexander | 71 |
25 | VEYHE Torkil | 77 |
26 | GALL Felix | 66 |
27 | PRODHOMME Nicolas | 63 |
28 | PER David | 81 |