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 + 43
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kirsipuu
2
80 kgEeckhout
3
73 kgCapelle
4
73 kgGuesdon
6
73 kgDierckxsens
8
71 kgMaignan
9
63 kgBassons
12
74 kgMoreau
13
77 kgvan der Steen
16
70 kgKjærgaard
18
74 kgO'Grady
19
73 kgPeers
20
73 kgNijdam
23
70 kgBénéteau
24
67 kgJalabert
25
68 kgBarthe
28
65 kgMengin
29
68 kgBouyer
32
65 kgPretot
36
71 kgChanteur
37
62 kgGaumont
45
77 kgMorin
51
79 kgBourguignon
57
72 kg
2
80 kgEeckhout
3
73 kgCapelle
4
73 kgGuesdon
6
73 kgDierckxsens
8
71 kgMaignan
9
63 kgBassons
12
74 kgMoreau
13
77 kgvan der Steen
16
70 kgKjærgaard
18
74 kgO'Grady
19
73 kgPeers
20
73 kgNijdam
23
70 kgBénéteau
24
67 kgJalabert
25
68 kgBarthe
28
65 kgMengin
29
68 kgBouyer
32
65 kgPretot
36
71 kgChanteur
37
62 kgGaumont
45
77 kgMorin
51
79 kgBourguignon
57
72 kg
Weight (KG) →
Result →
80
62
2
57
# | Rider | Weight (KG) |
---|---|---|
2 | KIRSIPUU Jaan | 80 |
3 | EECKHOUT Niko | 73 |
4 | CAPELLE Christophe | 73 |
6 | GUESDON Frédéric | 73 |
8 | DIERCKXSENS Ludo | 71 |
9 | MAIGNAN Gilles | 63 |
12 | BASSONS Christophe | 74 |
13 | MOREAU Francis | 77 |
16 | VAN DER STEEN Niels | 70 |
18 | KJÆRGAARD Steffen | 74 |
19 | O'GRADY Stuart | 73 |
20 | PEERS Chris | 73 |
23 | NIJDAM Jelle | 70 |
24 | BÉNÉTEAU Walter | 67 |
25 | JALABERT Nicolas | 68 |
28 | BARTHE Stéphane | 65 |
29 | MENGIN Christophe | 68 |
32 | BOUYER Franck | 65 |
36 | PRETOT Arnaud | 71 |
37 | CHANTEUR Pascal | 62 |
45 | GAUMONT Philippe | 77 |
51 | MORIN Anthony | 79 |
57 | BOURGUIGNON Thierry | 72 |