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 + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Cardona
2
68 kgDeloor
3
79 kgÁlvarez
4
61 kgMolinar
5
70 kgBulla
8
75 kgvan der Ruit
9
80 kgLouyet
9
64 kgAmberg
9
72 kgGimeno
9
73 kgFayolle
9
63 kgMolina
9
62 kgEzquerra
9
63 kgDignef
9
70 kgDeloor
9
72 kgCañardo
9
77 kgTrueba
9
58 kgBlattmann
9
68 kgMontero
9
74 kgBachero
9
64 kgFigueras
9
70 kgCepeda
34
64 kgThallinger
47
70 kg
2
68 kgDeloor
3
79 kgÁlvarez
4
61 kgMolinar
5
70 kgBulla
8
75 kgvan der Ruit
9
80 kgLouyet
9
64 kgAmberg
9
72 kgGimeno
9
73 kgFayolle
9
63 kgMolina
9
62 kgEzquerra
9
63 kgDignef
9
70 kgDeloor
9
72 kgCañardo
9
77 kgTrueba
9
58 kgBlattmann
9
68 kgMontero
9
74 kgBachero
9
64 kgFigueras
9
70 kgCepeda
34
64 kgThallinger
47
70 kg
Weight (KG) →
Result →
80
58
2
47
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CARDONA Salvador | 68 |
| 3 | DELOOR Gustaaf | 79 |
| 4 | ÁLVAREZ Emiliano | 61 |
| 5 | MOLINAR Edoardo | 70 |
| 8 | BULLA Max | 75 |
| 9 | VAN DER RUIT Gerrit | 80 |
| 9 | LOUYET Léon | 64 |
| 9 | AMBERG Leo | 72 |
| 9 | GIMENO Juan | 73 |
| 9 | FAYOLLE Fernand | 63 |
| 9 | MOLINA Salvador | 62 |
| 9 | EZQUERRA Federico | 63 |
| 9 | DIGNEF Antoon | 70 |
| 9 | DELOOR Alfons | 72 |
| 9 | CAÑARDO Mariano | 77 |
| 9 | TRUEBA Vicente | 58 |
| 9 | BLATTMANN Walter | 68 |
| 9 | MONTERO Luciano | 74 |
| 9 | BACHERO Vicente | 64 |
| 9 | FIGUERAS Isidro | 70 |
| 34 | CEPEDA Francisco | 64 |
| 47 | THALLINGER Karl | 70 |