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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Appollonio
1
67 kgMestre
2
65 kgMalucelli
3
68 kgAristi
4
72 kgJensen
5
67 kgFreitas
6
64 kgGrigorev
8
73 kgLinarez
9
74 kgCésar Veloso
10
69 kgGonçalves
11
64 kgBrandão
12
64 kgRüegg
13
66 kgTizza
14
58 kgGarcía de Mateos
15
68 kgReutimann
16
71 kgSáez
17
75 kgPinto
18
58 kgWelten
20
81 kgRibeiro
22
63 kgMarque
23
68 kgRodrigues
24
60 kg
1
67 kgMestre
2
65 kgMalucelli
3
68 kgAristi
4
72 kgJensen
5
67 kgFreitas
6
64 kgGrigorev
8
73 kgLinarez
9
74 kgCésar Veloso
10
69 kgGonçalves
11
64 kgBrandão
12
64 kgRüegg
13
66 kgTizza
14
58 kgGarcía de Mateos
15
68 kgReutimann
16
71 kgSáez
17
75 kgPinto
18
58 kgWelten
20
81 kgRibeiro
22
63 kgMarque
23
68 kgRodrigues
24
60 kg
Weight (KG) →
Result →
81
58
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | APPOLLONIO Davide | 67 |
2 | MESTRE Daniel | 65 |
3 | MALUCELLI Matteo | 68 |
4 | ARISTI Mikel | 72 |
5 | JENSEN August | 67 |
6 | FREITAS Daniel | 64 |
8 | GRIGOREV Aleksandr | 73 |
9 | LINAREZ Leangel Rubén | 74 |
10 | CÉSAR VELOSO Gustavo | 69 |
11 | GONÇALVES Gaspar | 64 |
12 | BRANDÃO Joni | 64 |
13 | RÜEGG Lukas | 66 |
14 | TIZZA Marco | 58 |
15 | GARCÍA DE MATEOS Vicente | 68 |
16 | REUTIMANN Matthias | 71 |
17 | SÁEZ Héctor | 75 |
18 | PINTO Edgar | 58 |
20 | WELTEN Bram | 81 |
22 | RIBEIRO David | 63 |
23 | MARQUE Alejandro Manuel | 68 |
24 | RODRIGUES João | 60 |