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 = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Figueiredo
1
56 kgMacKellar
2
69 kgBenta
3
60 kgNeves
4
61 kgAntunes
5
55 kgSilva
6
65 kgSilva
7
66 kgAntunes
8
58 kgCardoso
9
56 kgAngulo
10
67 kgCarvalho
11
60 kgHollyman
12
59 kgMachado
13
63 kgBou
14
62 kgAmado
15
65 kgNunes
16
64 kgTrueba
17
65 kgUrbano
18
62 kgOliveira
19
63 kgMendes
20
64 kgGallego
21
62 kgMestre
22
58 kgSoto
24
66 kgGonzález
25
68 kg
1
56 kgMacKellar
2
69 kgBenta
3
60 kgNeves
4
61 kgAntunes
5
55 kgSilva
6
65 kgSilva
7
66 kgAntunes
8
58 kgCardoso
9
56 kgAngulo
10
67 kgCarvalho
11
60 kgHollyman
12
59 kgMachado
13
63 kgBou
14
62 kgAmado
15
65 kgNunes
16
64 kgTrueba
17
65 kgUrbano
18
62 kgOliveira
19
63 kgMendes
20
64 kgGallego
21
62 kgMestre
22
58 kgSoto
24
66 kgGonzález
25
68 kg
Weight (KG) →
Result →
69
55
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIGUEIREDO Frederico | 56 |
| 2 | MACKELLAR Alastair | 69 |
| 3 | BENTA João | 60 |
| 4 | NEVES José | 61 |
| 5 | ANTUNES Tiago | 55 |
| 6 | SILVA Rafael | 65 |
| 7 | SILVA Joaquim | 66 |
| 8 | ANTUNES Amaro | 58 |
| 9 | CARDOSO André | 56 |
| 10 | ANGULO Antonio | 67 |
| 11 | CARVALHO Gonçalo | 60 |
| 12 | HOLLYMAN Mason | 59 |
| 13 | MACHADO Tiago | 63 |
| 14 | BOU Joan | 62 |
| 15 | AMADO Gonçalo | 65 |
| 16 | NUNES Hugo | 64 |
| 17 | TRUEBA Alvaro | 65 |
| 18 | URBANO Carmelo | 62 |
| 19 | OLIVEIRA Fábio | 63 |
| 20 | MENDES José | 64 |
| 21 | GALLEGO Alberto | 62 |
| 22 | MESTRE Ricardo | 58 |
| 24 | SOTO Antonio Jesús | 66 |
| 25 | GONZÁLEZ David | 68 |