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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Molenaar
1
63 kgNych
2
76 kgMoreira
3
76 kgLeal
5
59 kgPeñuela
6
56 kgLópez
7
59 kgDarder
8
67 kgGutiérrez
9
58 kgNicolau
10
66 kgCepeda
11
61 kgParra
12
55 kgFigueiredo
14
56 kgGarcía Pierna
15
58 kgFonte
16
60 kgSilva
17
66 kgRuiz
18
65 kgMalnasi
19
74 kgGonzález
20
60 kgNunes
21
64 kgDomínguez
22
61 kgPinto
23
68 kg
1
63 kgNych
2
76 kgMoreira
3
76 kgLeal
5
59 kgPeñuela
6
56 kgLópez
7
59 kgDarder
8
67 kgGutiérrez
9
58 kgNicolau
10
66 kgCepeda
11
61 kgParra
12
55 kgFigueiredo
14
56 kgGarcía Pierna
15
58 kgFonte
16
60 kgSilva
17
66 kgRuiz
18
65 kgMalnasi
19
74 kgGonzález
20
60 kgNunes
21
64 kgDomínguez
22
61 kgPinto
23
68 kg
Weight (KG) →
Result →
76
55
1
23
# | Rider | Weight (KG) |
---|---|---|
1 | MOLENAAR Alex | 63 |
2 | NYCH Artem | 76 |
3 | MOREIRA Mauricio | 76 |
5 | LEAL Tiago | 59 |
6 | PEÑUELA Francisco Joel | 56 |
7 | LÓPEZ Jordi | 59 |
8 | DARDER Sergi | 67 |
9 | GUTIÉRREZ Jorge | 58 |
10 | NICOLAU Joel | 66 |
11 | CEPEDA Jefferson Alveiro | 61 |
12 | PARRA José Félix | 55 |
14 | FIGUEIREDO Frederico | 56 |
15 | GARCÍA PIERNA Carlos | 58 |
16 | FONTE César | 60 |
17 | SILVA Joaquim | 66 |
18 | RUIZ Ibon | 65 |
19 | MALNASI Jozsef-Attila | 74 |
20 | GONZÁLEZ Abner | 60 |
21 | NUNES Hugo | 64 |
22 | DOMÍNGUEZ David | 61 |
23 | PINTO Pedro | 68 |