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 - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Howson
1
68 kgRubio
2
56 kgFortunato
3
57 kgSosa
4
52 kgCras
5
65 kgBrambilla
6
57 kgAlbanese
7
70 kgAdrià
8
64 kgBizkarra
9
53 kgDíaz
10
64 kgSilva
11
66 kgParra
12
55 kgTercero
13
65 kgOkamika
14
70 kgBalderstone
15
61 kgBou
16
62 kgPedrero
17
60 kgCastrillo
18
74 kgJuaristi
19
67.5 kg
1
68 kgRubio
2
56 kgFortunato
3
57 kgSosa
4
52 kgCras
5
65 kgBrambilla
6
57 kgAlbanese
7
70 kgAdrià
8
64 kgBizkarra
9
53 kgDíaz
10
64 kgSilva
11
66 kgParra
12
55 kgTercero
13
65 kgOkamika
14
70 kgBalderstone
15
61 kgBou
16
62 kgPedrero
17
60 kgCastrillo
18
74 kgJuaristi
19
67.5 kg
Weight (KG) →
Result →
74
52
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOWSON Damien | 68 |
| 2 | RUBIO Einer | 56 |
| 3 | FORTUNATO Lorenzo | 57 |
| 4 | SOSA Iván Ramiro | 52 |
| 5 | CRAS Steff | 65 |
| 6 | BRAMBILLA Gianluca | 57 |
| 7 | ALBANESE Vincenzo | 70 |
| 8 | ADRIÀ Roger | 64 |
| 9 | BIZKARRA Mikel | 53 |
| 10 | DÍAZ José Manuel | 64 |
| 11 | SILVA Joaquim | 66 |
| 12 | PARRA José Félix | 55 |
| 13 | TERCERO Fernando | 65 |
| 14 | OKAMIKA Ander | 70 |
| 15 | BALDERSTONE Abel | 61 |
| 16 | BOU Joan | 62 |
| 17 | PEDRERO Antonio | 60 |
| 18 | CASTRILLO Pablo | 74 |
| 19 | JUARISTI Txomin | 67.5 |