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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Figueiredo
2
56 kgMestre
4
65 kgRodrigues
5
60 kgFreitas
6
64 kgBenta
7
60 kgCésar Veloso
8
69 kgCarvalho
9
60 kgMannion
10
58 kgSilva
11
65 kgFernandes
12
63 kgNunes
13
64 kgMartingil
14
67 kgCaldeira
15
76 kgSwirbul
16
65 kgSánchez
17
74 kgFernández
18
60 kgIrizar
19
67 kgGonzález
20
68 kg
2
56 kgMestre
4
65 kgRodrigues
5
60 kgFreitas
6
64 kgBenta
7
60 kgCésar Veloso
8
69 kgCarvalho
9
60 kgMannion
10
58 kgSilva
11
65 kgFernandes
12
63 kgNunes
13
64 kgMartingil
14
67 kgCaldeira
15
76 kgSwirbul
16
65 kgSánchez
17
74 kgFernández
18
60 kgIrizar
19
67 kgGonzález
20
68 kg
Weight (KG) →
Result →
76
56
2
20
# | Rider | Weight (KG) |
---|---|---|
2 | FIGUEIREDO Frederico | 56 |
4 | MESTRE Daniel | 65 |
5 | RODRIGUES João | 60 |
6 | FREITAS Daniel | 64 |
7 | BENTA João | 60 |
8 | CÉSAR VELOSO Gustavo | 69 |
9 | CARVALHO Gonçalo | 60 |
10 | MANNION Gavin | 58 |
11 | SILVA Rafael | 65 |
12 | FERNANDES Luís | 63 |
13 | NUNES Hugo | 64 |
14 | MARTINGIL César | 67 |
15 | CALDEIRA Samuel José | 76 |
16 | SWIRBUL Keegan | 65 |
17 | SÁNCHEZ Ángel | 74 |
18 | FERNÁNDEZ Rubén | 60 |
19 | IRIZAR Julen | 67 |
20 | GONZÁLEZ David | 68 |