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 = 1.1 * weight - 33
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Ayuso
1
65 kgCarrascosa
2
58 kgArrieta
5
64 kgGutiérrez
9
58 kgCarbayeda
13
68 kgAznar
17
59 kgGarcía
24
64 kgde Paula
26
63 kgRamos
33
65 kgGuardeño
36
62 kgZubeldia
39
72 kgEtxeberria
44
65 kgMachado
47
62 kgGarcía
57
65 kgErostarbe
59
65.5 kgGranero
63
60 kgde Pablo
65
61 kgLuna
68
60 kgFernandez
74
69 kg
1
65 kgCarrascosa
2
58 kgArrieta
5
64 kgGutiérrez
9
58 kgCarbayeda
13
68 kgAznar
17
59 kgGarcía
24
64 kgde Paula
26
63 kgRamos
33
65 kgGuardeño
36
62 kgZubeldia
39
72 kgEtxeberria
44
65 kgMachado
47
62 kgGarcía
57
65 kgErostarbe
59
65.5 kgGranero
63
60 kgde Pablo
65
61 kgLuna
68
60 kgFernandez
74
69 kg
Weight (KG) →
Result →
72
58
1
74
# | Rider | Weight (KG) |
---|---|---|
1 | AYUSO Juan | 65 |
2 | CARRASCOSA Pablo | 58 |
5 | ARRIETA Igor | 64 |
9 | GUTIÉRREZ Jorge | 58 |
13 | CARBAYEDA Beñat | 68 |
17 | AZNAR Hugo | 59 |
24 | GARCÍA Oscar | 64 |
26 | DE PAULA Victor Cesar | 63 |
33 | RAMOS Miguel | 65 |
36 | GUARDEÑO Jaume | 62 |
39 | ZUBELDIA Unai | 72 |
44 | ETXEBERRIA Haimar | 65 |
47 | MACHADO Ricardo | 62 |
57 | GARCÍA Pablo | 65 |
59 | EROSTARBE Aimar | 65.5 |
63 | GRANERO Mario | 60 |
65 | DE PABLO Samuel | 61 |
68 | LUNA Alejandro | 60 |
74 | FERNANDEZ Alberto | 69 |