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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Contador
1
61 kgSagan
2
78 kgNibali
3
65 kgSantambrogio
4
63 kgRodríguez
5
58 kgFroome
6
68 kgHorner
7
70 kgCiolek
8
75 kgKwiatkowski
9
68 kgGreipel
10
80 kgBelletti
11
72 kgBenedetti
12
63 kgMollema
13
64 kgCunego
14
58 kgFerrari
15
73 kgSánchez
16
65 kgUrán
17
63 kgSelvaggi
18
73 kgDevolder
19
72 kgRoux
20
73 kgBodnar
21
77 kgHushovd
22
83 kgCimolai
23
70 kgDémare
24
76 kg
1
61 kgSagan
2
78 kgNibali
3
65 kgSantambrogio
4
63 kgRodríguez
5
58 kgFroome
6
68 kgHorner
7
70 kgCiolek
8
75 kgKwiatkowski
9
68 kgGreipel
10
80 kgBelletti
11
72 kgBenedetti
12
63 kgMollema
13
64 kgCunego
14
58 kgFerrari
15
73 kgSánchez
16
65 kgUrán
17
63 kgSelvaggi
18
73 kgDevolder
19
72 kgRoux
20
73 kgBodnar
21
77 kgHushovd
22
83 kgCimolai
23
70 kgDémare
24
76 kg
Weight (KG) →
Result →
83
58
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | CONTADOR Alberto | 61 |
2 | SAGAN Peter | 78 |
3 | NIBALI Vincenzo | 65 |
4 | SANTAMBROGIO Mauro | 63 |
5 | RODRÍGUEZ Joaquim | 58 |
6 | FROOME Chris | 68 |
7 | HORNER Chris | 70 |
8 | CIOLEK Gerald | 75 |
9 | KWIATKOWSKI Michał | 68 |
10 | GREIPEL André | 80 |
11 | BELLETTI Manuel | 72 |
12 | BENEDETTI Cesare | 63 |
13 | MOLLEMA Bauke | 64 |
14 | CUNEGO Damiano | 58 |
15 | FERRARI Roberto | 73 |
16 | SÁNCHEZ Samuel | 65 |
17 | URÁN Rigoberto | 63 |
18 | SELVAGGI Mirko | 73 |
19 | DEVOLDER Stijn | 72 |
20 | ROUX Anthony | 73 |
21 | BODNAR Maciej | 77 |
22 | HUSHOVD Thor | 83 |
23 | CIMOLAI Davide | 70 |
24 | DÉMARE Arnaud | 76 |