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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Jones
1
75 kgFortunato
2
57 kgSánchez
3
62 kgSessler
4
58 kgRubio
5
56 kgAgirre
6
55 kgSosa
7
52 kgCastrillo
8
74 kgAdrià
9
64 kgCarretero
10
67 kgBizkarra
11
53 kgHowson
12
68 kgSánchez
13
64 kgSimon
15
65 kgParra
16
55 kgPedrero
17
60 kgBarrenetxea
18
74 kgGarcía
19
67 kgLópez
20
66 kgTercero
21
65 kgBarceló
22
65 kgGrigorev
23
73 kgScott
24
68 kg
1
75 kgFortunato
2
57 kgSánchez
3
62 kgSessler
4
58 kgRubio
5
56 kgAgirre
6
55 kgSosa
7
52 kgCastrillo
8
74 kgAdrià
9
64 kgCarretero
10
67 kgBizkarra
11
53 kgHowson
12
68 kgSánchez
13
64 kgSimon
15
65 kgParra
16
55 kgPedrero
17
60 kgBarrenetxea
18
74 kgGarcía
19
67 kgLópez
20
66 kgTercero
21
65 kgBarceló
22
65 kgGrigorev
23
73 kgScott
24
68 kg
Weight (KG) →
Result →
75
52
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JONES Ollie | 75 |
| 2 | FORTUNATO Lorenzo | 57 |
| 3 | SÁNCHEZ Pelayo | 62 |
| 4 | SESSLER Nícolas | 58 |
| 5 | RUBIO Einer | 56 |
| 6 | AGIRRE Jon | 55 |
| 7 | SOSA Iván Ramiro | 52 |
| 8 | CASTRILLO Pablo | 74 |
| 9 | ADRIÀ Roger | 64 |
| 10 | CARRETERO Héctor | 67 |
| 11 | BIZKARRA Mikel | 53 |
| 12 | HOWSON Damien | 68 |
| 13 | SÁNCHEZ Eugenio | 64 |
| 15 | SIMON Julien | 65 |
| 16 | PARRA José Félix | 55 |
| 17 | PEDRERO Antonio | 60 |
| 18 | BARRENETXEA Jon | 74 |
| 19 | GARCÍA José María | 67 |
| 20 | LÓPEZ Joseba | 66 |
| 21 | TERCERO Fernando | 65 |
| 22 | BARCELÓ Fernando | 65 |
| 23 | GRIGOREV Aleksandr | 73 |
| 24 | SCOTT Jacob | 68 |