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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Benta
3
60 kgNocentini
4
60 kgBrôco
5
66 kgAfonso
6
56 kgde Segovia
7
75 kgCaldeira
8
76 kgSousa
9
59 kgCasimiro
10
62 kgCésar Veloso
11
69 kgSánchez
12
74 kgAlarcón
14
72 kgSancho
15
73 kgOsorio
16
65 kgAlmeida
17
64 kgBizkarra
18
53 kgSilva
19
59 kgReyes
20
55 kgLe Roux
22
59 kg
3
60 kgNocentini
4
60 kgBrôco
5
66 kgAfonso
6
56 kgde Segovia
7
75 kgCaldeira
8
76 kgSousa
9
59 kgCasimiro
10
62 kgCésar Veloso
11
69 kgSánchez
12
74 kgAlarcón
14
72 kgSancho
15
73 kgOsorio
16
65 kgAlmeida
17
64 kgBizkarra
18
53 kgSilva
19
59 kgReyes
20
55 kgLe Roux
22
59 kg
Weight (KG) →
Result →
76
53
3
22
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BENTA João | 60 |
| 4 | NOCENTINI Rinaldo | 60 |
| 5 | BRÔCO Hernâni | 66 |
| 6 | AFONSO Luis | 56 |
| 7 | DE SEGOVIA José Antonio | 75 |
| 8 | CALDEIRA Samuel José | 76 |
| 9 | SOUSA Rui | 59 |
| 10 | CASIMIRO Henrique | 62 |
| 11 | CÉSAR VELOSO Gustavo | 69 |
| 12 | SÁNCHEZ Ángel | 74 |
| 14 | ALARCÓN Raúl | 72 |
| 15 | SANCHO Bruno | 73 |
| 16 | OSORIO Juan Felipe | 65 |
| 17 | ALMEIDA Nuno | 64 |
| 18 | BIZKARRA Mikel | 53 |
| 19 | SILVA Bruno | 59 |
| 20 | REYES Aldemar | 55 |
| 22 | LE ROUX Romain | 59 |