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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Barbero
1
66 kgAberasturi
2
69 kgPrades
3
63 kgKreder
4
70 kgPlaza
6
77 kgRäim
7
69 kgSanz
8
67 kgGonzález
10
65 kgMestre
11
65 kgRubio
13
81 kgÁvila
14
61 kgCaldeira
15
76 kgSoto
16
66 kgStrakhov
17
70 kgHiguita
18
57 kgAranburu
19
63 kgFigueiredo
20
56 kgSilva
22
66 kgAlarcón
24
72 kgMas
25
69 kgEvtushenko
26
72 kgVermeulen
27
66 kg
1
66 kgAberasturi
2
69 kgPrades
3
63 kgKreder
4
70 kgPlaza
6
77 kgRäim
7
69 kgSanz
8
67 kgGonzález
10
65 kgMestre
11
65 kgRubio
13
81 kgÁvila
14
61 kgCaldeira
15
76 kgSoto
16
66 kgStrakhov
17
70 kgHiguita
18
57 kgAranburu
19
63 kgFigueiredo
20
56 kgSilva
22
66 kgAlarcón
24
72 kgMas
25
69 kgEvtushenko
26
72 kgVermeulen
27
66 kg
Weight (KG) →
Result →
81
56
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARBERO Carlos | 66 |
| 2 | ABERASTURI Jon | 69 |
| 3 | PRADES Eduard | 63 |
| 4 | KREDER Raymond | 70 |
| 6 | PLAZA Rubén | 77 |
| 7 | RÄIM Mihkel | 69 |
| 8 | SANZ Enrique | 67 |
| 10 | GONZÁLEZ Mario | 65 |
| 11 | MESTRE Daniel | 65 |
| 13 | RUBIO Diego | 81 |
| 14 | ÁVILA Edwin | 61 |
| 15 | CALDEIRA Samuel José | 76 |
| 16 | SOTO Nelson Andrés | 66 |
| 17 | STRAKHOV Dmitry | 70 |
| 18 | HIGUITA Sergio | 57 |
| 19 | ARANBURU Alex | 63 |
| 20 | FIGUEIREDO Frederico | 56 |
| 22 | SILVA Joaquim | 66 |
| 24 | ALARCÓN Raúl | 72 |
| 25 | MAS Lluís | 69 |
| 26 | EVTUSHENKO Alexander | 72 |
| 27 | VERMEULEN Alexey | 66 |