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 = 0.8 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Tondo
1
68 kgPires
4
63 kgMartinez
8
67 kgDos Santos
11
62 kgJaniaczyk
16
68 kgMayoz
28
62 kgTashiro
29
54 kgSabido
30
70 kgBurgos
33
58 kgIsidoro
36
63 kgMachado
40
63 kgMøller
41
70 kgBuffaz
49
64 kgMestre
51
58 kgFerrara
52
60 kgGarrido
55
70 kgLaurent
59
72 kgVoskamp
61
75 kgBergès
63
68 kgTorrent
73
71 kgAmorim
74
67 kgShimizu
75
60 kgMorajko
78
65 kg
1
68 kgPires
4
63 kgMartinez
8
67 kgDos Santos
11
62 kgJaniaczyk
16
68 kgMayoz
28
62 kgTashiro
29
54 kgSabido
30
70 kgBurgos
33
58 kgIsidoro
36
63 kgMachado
40
63 kgMøller
41
70 kgBuffaz
49
64 kgMestre
51
58 kgFerrara
52
60 kgGarrido
55
70 kgLaurent
59
72 kgVoskamp
61
75 kgBergès
63
68 kgTorrent
73
71 kgAmorim
74
67 kgShimizu
75
60 kgMorajko
78
65 kg
Weight (KG) →
Result →
75
54
1
78
# | Rider | Weight (KG) |
---|---|---|
1 | TONDO Xavier | 68 |
4 | PIRES Bruno | 63 |
8 | MARTINEZ José Alberto | 67 |
11 | DOS SANTOS Virgílio Martins | 62 |
16 | JANIACZYK Błażej | 68 |
28 | MAYOZ Iban | 62 |
29 | TASHIRO Yasutaka | 54 |
30 | SABIDO Hugo | 70 |
33 | BURGOS Nacor | 58 |
36 | ISIDORO Micael | 63 |
40 | MACHADO Tiago | 63 |
41 | MØLLER Claus Michael | 70 |
49 | BUFFAZ Mickaël | 64 |
51 | MESTRE Ricardo | 58 |
52 | FERRARA Raffaele | 60 |
55 | GARRIDO Martin Gerardo | 70 |
59 | LAURENT Christophe | 72 |
61 | VOSKAMP Bart | 75 |
63 | BERGÈS Stéphane | 68 |
73 | TORRENT Carlos | 71 |
74 | AMORIM Gonçalo | 67 |
75 | SHIMIZU Miyataka | 60 |
78 | MORAJKO Jacek | 65 |