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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Carapaz
1
62 kgQuintero
2
63 kgPinto
3
58 kgNeilands
4
69 kgVlasov
5
68 kgLastra
6
64 kgRojas
7
70 kgGarcía de Mateos
8
68 kgAular
9
65 kgRodrigues
10
60 kgCañaveral
11
60 kgOldani
12
65 kgNych
13
74 kgGarcía
14
55 kgBizkarra
15
53 kgGonzález
16
65 kgRodríguez
17
59 kgFernandes
18
63 kgReyes
22
55 kg
1
62 kgQuintero
2
63 kgPinto
3
58 kgNeilands
4
69 kgVlasov
5
68 kgLastra
6
64 kgRojas
7
70 kgGarcía de Mateos
8
68 kgAular
9
65 kgRodrigues
10
60 kgCañaveral
11
60 kgOldani
12
65 kgNych
13
74 kgGarcía
14
55 kgBizkarra
15
53 kgGonzález
16
65 kgRodríguez
17
59 kgFernandes
18
63 kgReyes
22
55 kg
Weight (KG) →
Result →
74
53
1
22
# | Rider | Weight (KG) |
---|---|---|
1 | CARAPAZ Richard | 62 |
2 | QUINTERO Carlos | 63 |
3 | PINTO Edgar | 58 |
4 | NEILANDS Krists | 69 |
5 | VLASOV Aleksandr | 68 |
6 | LASTRA Jonathan | 64 |
7 | ROJAS José Joaquín | 70 |
8 | GARCÍA DE MATEOS Vicente | 68 |
9 | AULAR Orluis | 65 |
10 | RODRIGUES David Miguel Costa | 60 |
11 | CAÑAVERAL Johnatan | 60 |
12 | OLDANI Stefano | 65 |
13 | NYCH Artem | 74 |
14 | GARCÍA Jhojan | 55 |
15 | BIZKARRA Mikel | 53 |
16 | GONZÁLEZ Mario | 65 |
17 | RODRÍGUEZ Cristián | 59 |
18 | FERNANDES Luís | 63 |
22 | REYES Aldemar | 55 |