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 + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
de la Cruz
1
66 kgGarcía Pierna
3
67 kgLazkano
4
74 kgJuaristi
5
67.5 kgRomeo
6
75 kgCastrillo
8
74 kgAznar
9
68 kgAznar
11
59 kgde la Parte
12
64 kgBalderstone
13
61 kgTorres
14
70 kgTeruel
15
73 kgOkamika
16
70 kgEzquerra
18
68 kgGuardeño
19
62 kgTrueba
20
65 kgBennassar
22
75 kgMurguialday
23
57 kgSorarrain
24
76 kgIbáñez
27
67 kgAra
28
60 kg
1
66 kgGarcía Pierna
3
67 kgLazkano
4
74 kgJuaristi
5
67.5 kgRomeo
6
75 kgCastrillo
8
74 kgAznar
9
68 kgAznar
11
59 kgde la Parte
12
64 kgBalderstone
13
61 kgTorres
14
70 kgTeruel
15
73 kgOkamika
16
70 kgEzquerra
18
68 kgGuardeño
19
62 kgTrueba
20
65 kgBennassar
22
75 kgMurguialday
23
57 kgSorarrain
24
76 kgIbáñez
27
67 kgAra
28
60 kg
Weight (KG) →
Result →
76
57
1
28
# | Rider | Weight (KG) |
---|---|---|
1 | DE LA CRUZ David | 66 |
3 | GARCÍA PIERNA Raúl | 67 |
4 | LAZKANO Oier | 74 |
5 | JUARISTI Txomin | 67.5 |
6 | ROMEO Iván | 75 |
8 | CASTRILLO Pablo | 74 |
9 | AZNAR Unai | 68 |
11 | AZNAR Hugo | 59 |
12 | DE LA PARTE Víctor | 64 |
13 | BALDERSTONE Abel | 61 |
14 | TORRES Albert | 70 |
15 | TERUEL Eloy | 73 |
16 | OKAMIKA Ander | 70 |
18 | EZQUERRA Jesús | 68 |
19 | GUARDEÑO Jaume | 62 |
20 | TRUEBA Alvaro | 65 |
22 | BENNASSAR Joan Marti | 75 |
23 | MURGUIALDAY Jokin | 57 |
24 | SORARRAIN Gorka | 76 |
27 | IBÁÑEZ Javier | 67 |
28 | ARA Pablo | 60 |