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 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Evenepoel
1
61 kgPhilipsen
2
75 kgMerlier
3
76 kgJakobsen
4
78 kgCampenaerts
5
68 kgTaminiaux
6
74 kgvan Schip
7
84 kgKron
8
63 kgVan Asbroeck
9
72 kgSoete
10
72 kgWellens
11
71 kgVliegen
12
70 kgMartinelli
13
71 kgVergaerde
14
74 kgAerts
15
72 kgBurgaudeau
16
61 kgMullen
17
77 kgCoquard
18
59 kgMarit
19
72 kgLaporte
20
76 kgSerry
21
66 kgBol
22
71 kgBrändle
23
80 kgNorman Leth
24
75 kgTerpstra
25
75 kg
1
61 kgPhilipsen
2
75 kgMerlier
3
76 kgJakobsen
4
78 kgCampenaerts
5
68 kgTaminiaux
6
74 kgvan Schip
7
84 kgKron
8
63 kgVan Asbroeck
9
72 kgSoete
10
72 kgWellens
11
71 kgVliegen
12
70 kgMartinelli
13
71 kgVergaerde
14
74 kgAerts
15
72 kgBurgaudeau
16
61 kgMullen
17
77 kgCoquard
18
59 kgMarit
19
72 kgLaporte
20
76 kgSerry
21
66 kgBol
22
71 kgBrändle
23
80 kgNorman Leth
24
75 kgTerpstra
25
75 kg
Weight (KG) →
Result →
84
59
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | EVENEPOEL Remco | 61 |
2 | PHILIPSEN Jasper | 75 |
3 | MERLIER Tim | 76 |
4 | JAKOBSEN Fabio | 78 |
5 | CAMPENAERTS Victor | 68 |
6 | TAMINIAUX Lionel | 74 |
7 | VAN SCHIP Jan-Willem | 84 |
8 | KRON Andreas | 63 |
9 | VAN ASBROECK Tom | 72 |
10 | SOETE Daan | 72 |
11 | WELLENS Tim | 71 |
12 | VLIEGEN Loïc | 70 |
13 | MARTINELLI Davide | 71 |
14 | VERGAERDE Otto | 74 |
15 | AERTS Toon | 72 |
16 | BURGAUDEAU Mathieu | 61 |
17 | MULLEN Ryan | 77 |
18 | COQUARD Bryan | 59 |
19 | MARIT Arne | 72 |
20 | LAPORTE Christophe | 76 |
21 | SERRY Pieter | 66 |
22 | BOL Jetse | 71 |
23 | BRÄNDLE Matthias | 80 |
24 | NORMAN LETH Lasse | 75 |
25 | TERPSTRA Niki | 75 |