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.
Virenque
2
65 kgDjavanian
3
64 kgFarazijn
4
69 kgBouvard
5
70 kgVoigt
7
76 kgGougot
8
72 kgBessy
9
65 kgBassons
10
74 kgRous
11
70 kgGuidi
12
73 kgKivilev
13
64 kgJørgensen
14
60 kgPeers
16
73 kgHamburger
17
58 kgAus
18
75 kgAerts
19
68 kgMoncoutié
21
69 kgPoli
24
87 kgHolm Sørensen
25
77 kgHalgand
26
67 kg
2
65 kgDjavanian
3
64 kgFarazijn
4
69 kgBouvard
5
70 kgVoigt
7
76 kgGougot
8
72 kgBessy
9
65 kgBassons
10
74 kgRous
11
70 kgGuidi
12
73 kgKivilev
13
64 kgJørgensen
14
60 kgPeers
16
73 kgHamburger
17
58 kgAus
18
75 kgAerts
19
68 kgMoncoutié
21
69 kgPoli
24
87 kgHolm Sørensen
25
77 kgHalgand
26
67 kg
Weight (KG) →
Result →
87
58
2
26
# | Rider | Weight (KG) |
---|---|---|
2 | VIRENQUE Richard | 65 |
3 | DJAVANIAN Viatcheslav | 64 |
4 | FARAZIJN Peter | 69 |
5 | BOUVARD Gilles | 70 |
7 | VOIGT Jens | 76 |
8 | GOUGOT Fabrice | 72 |
9 | BESSY Frédéric | 65 |
10 | BASSONS Christophe | 74 |
11 | ROUS Didier | 70 |
12 | GUIDI Fabrizio | 73 |
13 | KIVILEV Andrei | 64 |
14 | JØRGENSEN René | 60 |
16 | PEERS Chris | 73 |
17 | HAMBURGER Bo | 58 |
18 | AUS Lauri | 75 |
19 | AERTS Mario | 68 |
21 | MONCOUTIÉ David | 69 |
24 | POLI Eros | 87 |
25 | HOLM SØRENSEN Brian | 77 |
26 | HALGAND Patrice | 67 |