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 = 0.3 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Albanese
1
70 kgHowson
2
68 kgCras
3
65 kgRubio
4
56 kgBrambilla
5
57 kgFortunato
6
57 kgSánchez
7
62 kgSosa
8
52 kgAdrià
9
64 kgDíaz
10
64 kgBou
11
62 kgParra
12
55 kgBizkarra
13
53 kgAular
14
65 kgSilva
15
66 kgTercero
17
65 kgOkamika
18
70 kgBalderstone
20
61 kgGonzález
21
60 kgPedrero
22
60 kgBarrenetxea
23
74 kgCastrillo
24
74 kgLópez
25
59 kgJuaristi
26
67.5 kg
1
70 kgHowson
2
68 kgCras
3
65 kgRubio
4
56 kgBrambilla
5
57 kgFortunato
6
57 kgSánchez
7
62 kgSosa
8
52 kgAdrià
9
64 kgDíaz
10
64 kgBou
11
62 kgParra
12
55 kgBizkarra
13
53 kgAular
14
65 kgSilva
15
66 kgTercero
17
65 kgOkamika
18
70 kgBalderstone
20
61 kgGonzález
21
60 kgPedrero
22
60 kgBarrenetxea
23
74 kgCastrillo
24
74 kgLópez
25
59 kgJuaristi
26
67.5 kg
Weight (KG) →
Result →
74
52
1
26
# | Rider | Weight (KG) |
---|---|---|
1 | ALBANESE Vincenzo | 70 |
2 | HOWSON Damien | 68 |
3 | CRAS Steff | 65 |
4 | RUBIO Einer | 56 |
5 | BRAMBILLA Gianluca | 57 |
6 | FORTUNATO Lorenzo | 57 |
7 | SÁNCHEZ Pelayo | 62 |
8 | SOSA Iván Ramiro | 52 |
9 | ADRIÀ Roger | 64 |
10 | DÍAZ José Manuel | 64 |
11 | BOU Joan | 62 |
12 | PARRA José Félix | 55 |
13 | BIZKARRA Mikel | 53 |
14 | AULAR Orluis | 65 |
15 | SILVA Joaquim | 66 |
17 | TERCERO Fernando | 65 |
18 | OKAMIKA Ander | 70 |
20 | BALDERSTONE Abel | 61 |
21 | GONZÁLEZ Abner | 60 |
22 | PEDRERO Antonio | 60 |
23 | BARRENETXEA Jon | 74 |
24 | CASTRILLO Pablo | 74 |
25 | LÓPEZ Jordi | 59 |
26 | JUARISTI Txomin | 67.5 |