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 + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Koning
1
77 kgOwsian
2
66 kgSiutsou
3
68 kgBoaro
4
64 kgTonelli
5
64 kgWeening
6
68 kgCañaveral
7
60 kgGolčer
8
66.5 kgGidich
9
69 kgDima
10
73 kgRogina
11
70 kgvan der Lijke
12
61 kgEg
13
60 kgMaestri
14
73 kgPearson
15
53 kgZurlo
16
70 kgKump
17
68 kgStacchiotti
19
70 kgBrambilla
20
57 kgPogačar
22
66 kgDidier
23
68 kgHorvat
25
70 kgGrošelj
26
70 kgLienhard
29
73 kg
1
77 kgOwsian
2
66 kgSiutsou
3
68 kgBoaro
4
64 kgTonelli
5
64 kgWeening
6
68 kgCañaveral
7
60 kgGolčer
8
66.5 kgGidich
9
69 kgDima
10
73 kgRogina
11
70 kgvan der Lijke
12
61 kgEg
13
60 kgMaestri
14
73 kgPearson
15
53 kgZurlo
16
70 kgKump
17
68 kgStacchiotti
19
70 kgBrambilla
20
57 kgPogačar
22
66 kgDidier
23
68 kgHorvat
25
70 kgGrošelj
26
70 kgLienhard
29
73 kg
Weight (KG) →
Result →
77
53
1
29
# | Rider | Weight (KG) |
---|---|---|
1 | KONING Peter | 77 |
2 | OWSIAN Łukasz | 66 |
3 | SIUTSOU Kanstantsin | 68 |
4 | BOARO Manuele | 64 |
5 | TONELLI Alessandro | 64 |
6 | WEENING Pieter | 68 |
7 | CAÑAVERAL Johnatan | 60 |
8 | GOLČER Jure | 66.5 |
9 | GIDICH Yevgeniy | 69 |
10 | DIMA Emil | 73 |
11 | ROGINA Radoslav | 70 |
12 | VAN DER LIJKE Nick | 61 |
13 | EG Niklas | 60 |
14 | MAESTRI Mirco | 73 |
15 | PEARSON Daniel | 53 |
16 | ZURLO Federico | 70 |
17 | KUMP Marko | 68 |
19 | STACCHIOTTI Riccardo | 70 |
20 | BRAMBILLA Gianluca | 57 |
22 | POGAČAR Tadej | 66 |
23 | DIDIER Laurent | 68 |
25 | HORVAT Žiga | 70 |
26 | GROŠELJ Matic | 70 |
29 | LIENHARD Fabian | 73 |