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 = -0.7 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Cardoso
3
70 kgSancho
4
73 kgMestre
6
65 kgIsidoro
7
63 kgCaldeira
9
76 kgMendes
12
64 kgVilela
13
59 kgPires
14
63 kgLivramento
16
55 kgMestre
17
58 kgSousa
18
59 kgPinto
21
58 kgFonte
22
60 kgCardoso
23
56 kgSabido
24
70 kgBrôco
26
66 kgSilva
27
59 kgSilva
29
53 kgCasimiro
30
62 kg
3
70 kgSancho
4
73 kgMestre
6
65 kgIsidoro
7
63 kgCaldeira
9
76 kgMendes
12
64 kgVilela
13
59 kgPires
14
63 kgLivramento
16
55 kgMestre
17
58 kgSousa
18
59 kgPinto
21
58 kgFonte
22
60 kgCardoso
23
56 kgSabido
24
70 kgBrôco
26
66 kgSilva
27
59 kgSilva
29
53 kgCasimiro
30
62 kg
Weight (KG) →
Result →
76
53
3
30
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CARDOSO Filipe | 70 |
| 4 | SANCHO Bruno | 73 |
| 6 | MESTRE Daniel | 65 |
| 7 | ISIDORO Micael | 63 |
| 9 | CALDEIRA Samuel José | 76 |
| 12 | MENDES José | 64 |
| 13 | VILELA Ricardo | 59 |
| 14 | PIRES Bruno | 63 |
| 16 | LIVRAMENTO David | 55 |
| 17 | MESTRE Ricardo | 58 |
| 18 | SOUSA Rui | 59 |
| 21 | PINTO Edgar | 58 |
| 22 | FONTE César | 60 |
| 23 | CARDOSO André | 56 |
| 24 | SABIDO Hugo | 70 |
| 26 | BRÔCO Hernâni | 66 |
| 27 | SILVA Bruno | 59 |
| 29 | SILVA Diogo | 53 |
| 30 | CASIMIRO Henrique | 62 |