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 + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Noppe
1
73 kgMannaerts
2
73 kgBaugnies
3
69 kgGmelich Meijling
4
77 kgJans
5
68 kgMarchand
8
61 kgDe Winter
9
83 kgVan Keirsbulck
10
89 kgDuquennoy
12
75 kgStenuit
13
77 kgNaesen
16
72 kgRickaert
17
88 kgAllegaert
18
70 kgTaminiaux
19
74 kgVahtra
21
85 kgRuijgh
23
64 kgvan Bakel
25
62 kgde Lange
26
58 kgDe Witte
27
61 kgVerschuere
28
75 kgHagen
30
65 kgVan Rooy
31
70 kgVan Lerberghe
32
83 kg
1
73 kgMannaerts
2
73 kgBaugnies
3
69 kgGmelich Meijling
4
77 kgJans
5
68 kgMarchand
8
61 kgDe Winter
9
83 kgVan Keirsbulck
10
89 kgDuquennoy
12
75 kgStenuit
13
77 kgNaesen
16
72 kgRickaert
17
88 kgAllegaert
18
70 kgTaminiaux
19
74 kgVahtra
21
85 kgRuijgh
23
64 kgvan Bakel
25
62 kgde Lange
26
58 kgDe Witte
27
61 kgVerschuere
28
75 kgHagen
30
65 kgVan Rooy
31
70 kgVan Lerberghe
32
83 kg
Weight (KG) →
Result →
89
58
1
32
# | Rider | Weight (KG) |
---|---|---|
1 | NOPPE Christophe | 73 |
2 | MANNAERTS Jelle | 73 |
3 | BAUGNIES Jérôme | 69 |
4 | GMELICH MEIJLING Jarno | 77 |
5 | JANS Roy | 68 |
8 | MARCHAND Gianni | 61 |
9 | DE WINTER Ludwig | 83 |
10 | VAN KEIRSBULCK Guillaume | 89 |
12 | DUQUENNOY Jimmy | 75 |
13 | STENUIT Robin | 77 |
16 | NAESEN Lawrence | 72 |
17 | RICKAERT Jonas | 88 |
18 | ALLEGAERT Piet | 70 |
19 | TAMINIAUX Lionel | 74 |
21 | VAHTRA Norman | 85 |
23 | RUIJGH Rob | 64 |
25 | VAN BAKEL Robbie | 62 |
26 | DE LANGE Thijs | 58 |
27 | DE WITTE Mathias | 61 |
28 | VERSCHUERE Seppe | 75 |
30 | HAGEN Carl Fredrik | 65 |
31 | VAN ROOY Kenneth | 70 |
32 | VAN LERBERGHE Bert | 83 |