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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Ekimov
1
69 kgChanteur
2
62 kgVirenque
3
65 kgDufaux
4
60 kgBrochard
5
68 kgOlano
6
70 kgGougot
7
72 kgRebellin
8
63 kgBoogerd
9
62 kgRinero
11
65 kgHervé
12
62 kgBölts
14
73 kgArrieta
15
68 kgDe Los Angeles
16
63 kgVerbrugghe
17
70 kgTeteriouk
18
72 kgArroyo
19
59 kgMoreau
20
71 kg
1
69 kgChanteur
2
62 kgVirenque
3
65 kgDufaux
4
60 kgBrochard
5
68 kgOlano
6
70 kgGougot
7
72 kgRebellin
8
63 kgBoogerd
9
62 kgRinero
11
65 kgHervé
12
62 kgBölts
14
73 kgArrieta
15
68 kgDe Los Angeles
16
63 kgVerbrugghe
17
70 kgTeteriouk
18
72 kgArroyo
19
59 kgMoreau
20
71 kg
Weight (KG) →
Result →
73
59
1
20
# | Rider | Weight (KG) |
---|---|---|
1 | EKIMOV Viatcheslav | 69 |
2 | CHANTEUR Pascal | 62 |
3 | VIRENQUE Richard | 65 |
4 | DUFAUX Laurent | 60 |
5 | BROCHARD Laurent | 68 |
6 | OLANO Abraham | 70 |
7 | GOUGOT Fabrice | 72 |
8 | REBELLIN Davide | 63 |
9 | BOOGERD Michael | 62 |
11 | RINERO Christophe | 65 |
12 | HERVÉ Pascal | 62 |
14 | BÖLTS Udo | 73 |
15 | ARRIETA José Luis | 68 |
16 | DE LOS ANGELES Juan José | 63 |
17 | VERBRUGGHE Rik | 70 |
18 | TETERIOUK Andrei | 72 |
19 | ARROYO Miguel | 59 |
20 | MOREAU Christophe | 71 |