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 = 0.2 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Crawford
1
59 kgWhitehouse
2
58 kgGrijalba
3
61 kgHill
4
67 kgSuzuki
5
58 kgNieto
6
58 kgGuardiola
7
65 kgLebas
8
65 kgEarle
10
70 kgNakajima
13
64 kgGaledo
14
58 kgHirai
15
63 kgSchumacher
18
71 kgKhalmuratov
20
68 kgIshibashi
21
68 kgMonier
23
75 kgAzman
26
57 kgGuy
28
67 kgShushemoin
30
62 kgOconer
32
59 kgTsubaki
36
62 kgTokuda
37
65 kgGoh
46
54 kgOkubo
49
70 kg
1
59 kgWhitehouse
2
58 kgGrijalba
3
61 kgHill
4
67 kgSuzuki
5
58 kgNieto
6
58 kgGuardiola
7
65 kgLebas
8
65 kgEarle
10
70 kgNakajima
13
64 kgGaledo
14
58 kgHirai
15
63 kgSchumacher
18
71 kgKhalmuratov
20
68 kgIshibashi
21
68 kgMonier
23
75 kgAzman
26
57 kgGuy
28
67 kgShushemoin
30
62 kgOconer
32
59 kgTsubaki
36
62 kgTokuda
37
65 kgGoh
46
54 kgOkubo
49
70 kg
Weight (KG) →
Result →
75
54
1
49
# | Rider | Weight (KG) |
---|---|---|
1 | CRAWFORD Jai | 59 |
2 | WHITEHOUSE Daniel | 58 |
3 | GRIJALBA Fernando | 61 |
4 | HILL Benjamin | 67 |
5 | SUZUKI Ryu | 58 |
6 | NIETO Edgar | 58 |
7 | GUARDIOLA Salvador | 65 |
8 | LEBAS Thomas | 65 |
10 | EARLE Nathan | 70 |
13 | NAKAJIMA Yasuharu | 64 |
14 | GALEDO Mark John Lexer | 58 |
15 | HIRAI Eiichi | 63 |
18 | SCHUMACHER Stefan | 71 |
20 | KHALMURATOV Muradjan | 68 |
21 | ISHIBASHI Manabu | 68 |
23 | MONIER Damien | 75 |
26 | AZMAN Muhamad Zawawi | 57 |
28 | GUY Timothy | 67 |
30 | SHUSHEMOIN Alexandr | 62 |
32 | OCONER George | 59 |
36 | TSUBAKI Hiroshi | 62 |
37 | TOKUDA Suguru | 65 |
46 | GOH Choon Huat | 54 |
49 | OKUBO Jin | 70 |