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 = 0.6 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Edo
1
64 kgTorrent
4
71 kgGarcía
6
80 kgBaliani
7
66 kgRibeiro
8
59 kgPetrov
12
63 kgPlaza
19
68 kgSabido
23
70 kgAmorim
24
67 kgArroyo
27
63 kgPaulinho
28
64 kgBrôco
38
66 kgCastanheira
43
70 kgAverin
46
74 kgPalomares
55
56 kgMarque
58
68 kgLancaster
60
78 kgGarrido
62
70 kgPires
67
63 kgTrusov
68
77 kg
1
64 kgTorrent
4
71 kgGarcía
6
80 kgBaliani
7
66 kgRibeiro
8
59 kgPetrov
12
63 kgPlaza
19
68 kgSabido
23
70 kgAmorim
24
67 kgArroyo
27
63 kgPaulinho
28
64 kgBrôco
38
66 kgCastanheira
43
70 kgAverin
46
74 kgPalomares
55
56 kgMarque
58
68 kgLancaster
60
78 kgGarrido
62
70 kgPires
67
63 kgTrusov
68
77 kg
Weight (KG) →
Result →
80
56
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDO Ángel | 64 |
| 4 | TORRENT Carlos | 71 |
| 6 | GARCÍA Francisco Tomás | 80 |
| 7 | BALIANI Fortunato | 66 |
| 8 | RIBEIRO Nuno | 59 |
| 12 | PETROV Danail Andonov | 63 |
| 19 | PLAZA David | 68 |
| 23 | SABIDO Hugo | 70 |
| 24 | AMORIM Gonçalo | 67 |
| 27 | ARROYO David | 63 |
| 28 | PAULINHO Sérgio Miguel | 64 |
| 38 | BRÔCO Hernâni | 66 |
| 43 | CASTANHEIRA Bruno Miguel | 70 |
| 46 | AVERIN Maksym | 74 |
| 55 | PALOMARES Adrián | 56 |
| 58 | MARQUE Alejandro Manuel | 68 |
| 60 | LANCASTER Brett | 78 |
| 62 | GARRIDO Martin Gerardo | 70 |
| 67 | PIRES Bruno | 63 |
| 68 | TRUSOV Nikolay | 77 |