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 = 1.2 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Chanteur
1
62 kgHamburger
2
58 kgGonzález
3
70 kgZarrabeitia
5
63 kgArrieta
6
68 kgBelli
7
64 kgLuttenberger
8
60 kgSimon
9
70 kgMancebo
11
64 kgBoogerd
12
62 kgJulich
13
68 kgMoreau
15
71 kgCasagrande
17
64 kgJonker
20
69 kgMauri
21
68 kgGougot
22
72 kgKonyshev
24
77 kgChiappucci
25
67 kgBölts
26
73 kgVerheyen
28
68 kgGarcía Acosta
29
76 kgGutiérrez
30
78 kg
1
62 kgHamburger
2
58 kgGonzález
3
70 kgZarrabeitia
5
63 kgArrieta
6
68 kgBelli
7
64 kgLuttenberger
8
60 kgSimon
9
70 kgMancebo
11
64 kgBoogerd
12
62 kgJulich
13
68 kgMoreau
15
71 kgCasagrande
17
64 kgJonker
20
69 kgMauri
21
68 kgGougot
22
72 kgKonyshev
24
77 kgChiappucci
25
67 kgBölts
26
73 kgVerheyen
28
68 kgGarcía Acosta
29
76 kgGutiérrez
30
78 kg
Weight (KG) →
Result →
78
58
1
30
# | Rider | Weight (KG) |
---|---|---|
1 | CHANTEUR Pascal | 62 |
2 | HAMBURGER Bo | 58 |
3 | GONZÁLEZ Santos | 70 |
5 | ZARRABEITIA Mikel | 63 |
6 | ARRIETA José Luis | 68 |
7 | BELLI Wladimir | 64 |
8 | LUTTENBERGER Peter | 60 |
9 | SIMON François | 70 |
11 | MANCEBO Francisco | 64 |
12 | BOOGERD Michael | 62 |
13 | JULICH Bobby | 68 |
15 | MOREAU Christophe | 71 |
17 | CASAGRANDE Francesco | 64 |
20 | JONKER Patrick | 69 |
21 | MAURI Melchor | 68 |
22 | GOUGOT Fabrice | 72 |
24 | KONYSHEV Dmitry | 77 |
25 | CHIAPPUCCI Claudio | 67 |
26 | BÖLTS Udo | 73 |
28 | VERHEYEN Geert | 68 |
29 | GARCÍA ACOSTA José Vicente | 76 |
30 | GUTIÉRREZ José Enrique | 78 |