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 = -2.3 * weight + 195
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Hushovd
1
83 kgLjungqvist
3
73 kgMorin
4
79 kgPencolé
5
74 kgBrutt
11
70 kgHervé
12
60 kgKlimov
17
69 kgArvesen
18
74 kgLaurent
19
72 kgJohansen
21
78 kgRobin
22
63 kgLupeikis
23
80 kgSerov
24
77 kgCalzati
29
68 kgZamana
36
74 kgClerc
37
71 kgLiese
46
75 kgJan
53
62 kgRadochla
54
70 kgPlouhinec
66
63 kgHinault
69
63 kgCharteau
75
67 kgFédrigo
79
66 kgEdaleine
80
62 kg
1
83 kgLjungqvist
3
73 kgMorin
4
79 kgPencolé
5
74 kgBrutt
11
70 kgHervé
12
60 kgKlimov
17
69 kgArvesen
18
74 kgLaurent
19
72 kgJohansen
21
78 kgRobin
22
63 kgLupeikis
23
80 kgSerov
24
77 kgCalzati
29
68 kgZamana
36
74 kgClerc
37
71 kgLiese
46
75 kgJan
53
62 kgRadochla
54
70 kgPlouhinec
66
63 kgHinault
69
63 kgCharteau
75
67 kgFédrigo
79
66 kgEdaleine
80
62 kg
Weight (KG) →
Result →
83
60
1
80
# | Rider | Weight (KG) |
---|---|---|
1 | HUSHOVD Thor | 83 |
3 | LJUNGQVIST Marcus | 73 |
4 | MORIN Anthony | 79 |
5 | PENCOLÉ Franck | 74 |
11 | BRUTT Pavel | 70 |
12 | HERVÉ Cédric | 60 |
17 | KLIMOV Sergey | 69 |
18 | ARVESEN Kurt-Asle | 74 |
19 | LAURENT Christophe | 72 |
21 | JOHANSEN Allan | 78 |
22 | ROBIN Jean-Cyril | 63 |
23 | LUPEIKIS Remigius | 80 |
24 | SEROV Alexander | 77 |
29 | CALZATI Sylvain | 68 |
36 | ZAMANA Cezary | 74 |
37 | CLERC Aurélien | 71 |
46 | LIESE Thomas | 75 |
53 | JAN Xavier | 62 |
54 | RADOCHLA Steffen | 70 |
66 | PLOUHINEC Samuel | 63 |
69 | HINAULT Sébastien | 63 |
75 | CHARTEAU Anthony | 67 |
79 | FÉDRIGO Pierrick | 66 |
80 | EDALEINE Christophe | 62 |