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 = 0.1 * weight + 27
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Dillier
1
75 kgGuldhammer
3
66 kgJuul-Jensen
5
73 kgSagan
6
78 kgKwiatkowski
7
68 kgVermote
9
74 kgImhof
12
80 kgSalomein
17
80 kgMahďar
20
61 kgPolnický
21
68 kgMajka
25
62 kgOwsian
26
66 kgPoljański
32
63 kgJones
36
64 kgEijssen
38
60 kgWallays
42
77 kgVermote
43
74 kgBrändle
45
80 kgSelig
59
80 kgPetruš
77
58 kgSteels
87
78 kgNovák
95
71 kgRosskopf
114
74 kg
1
75 kgGuldhammer
3
66 kgJuul-Jensen
5
73 kgSagan
6
78 kgKwiatkowski
7
68 kgVermote
9
74 kgImhof
12
80 kgSalomein
17
80 kgMahďar
20
61 kgPolnický
21
68 kgMajka
25
62 kgOwsian
26
66 kgPoljański
32
63 kgJones
36
64 kgEijssen
38
60 kgWallays
42
77 kgVermote
43
74 kgBrändle
45
80 kgSelig
59
80 kgPetruš
77
58 kgSteels
87
78 kgNovák
95
71 kgRosskopf
114
74 kg
Weight (KG) →
Result →
80
58
1
114
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DILLIER Silvan | 75 |
| 3 | GULDHAMMER Rasmus | 66 |
| 5 | JUUL-JENSEN Christopher | 73 |
| 6 | SAGAN Peter | 78 |
| 7 | KWIATKOWSKI Michał | 68 |
| 9 | VERMOTE Julien | 74 |
| 12 | IMHOF Claudio | 80 |
| 17 | SALOMEIN Jarl | 80 |
| 20 | MAHĎAR Martin | 61 |
| 21 | POLNICKÝ Jiří | 68 |
| 25 | MAJKA Rafał | 62 |
| 26 | OWSIAN Łukasz | 66 |
| 32 | POLJAŃSKI Paweł | 63 |
| 36 | JONES Carter | 64 |
| 38 | EIJSSEN Yannick | 60 |
| 42 | WALLAYS Jelle | 77 |
| 43 | VERMOTE Alphonse | 74 |
| 45 | BRÄNDLE Matthias | 80 |
| 59 | SELIG Rüdiger | 80 |
| 77 | PETRUŠ Lubomir | 58 |
| 87 | STEELS Stijn | 78 |
| 95 | NOVÁK Jakub | 71 |
| 114 | ROSSKOPF Joey | 74 |