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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Corioni
1
67 kgMurn
2
70 kgBileka
3
65 kgPérez
4
70 kgJufré
5
65 kgArtetxe
6
61 kgGutiérrez
7
71 kgPascual Llorente
8
68 kgEdo
9
64 kgFlorencio
10
59 kgRighi
11
70 kgFrigo
12
66 kgHorner
16
70 kgSimoni
17
59 kgBruseghin
18
70 kgRubiera
19
69 kgContador
21
61 kgCaruso
22
60 kgBenítez
23
66 kgFerrío
24
51 kgJørgensen
25
60 kgGutiérrez
27
78 kgHeras
28
59 kgPeña
29
65 kg
1
67 kgMurn
2
70 kgBileka
3
65 kgPérez
4
70 kgJufré
5
65 kgArtetxe
6
61 kgGutiérrez
7
71 kgPascual Llorente
8
68 kgEdo
9
64 kgFlorencio
10
59 kgRighi
11
70 kgFrigo
12
66 kgHorner
16
70 kgSimoni
17
59 kgBruseghin
18
70 kgRubiera
19
69 kgContador
21
61 kgCaruso
22
60 kgBenítez
23
66 kgFerrío
24
51 kgJørgensen
25
60 kgGutiérrez
27
78 kgHeras
28
59 kgPeña
29
65 kg
Weight (KG) →
Result →
78
51
1
29
# | Rider | Weight (KG) |
---|---|---|
1 | CORIONI Claudio | 67 |
2 | MURN Uroš | 70 |
3 | BILEKA Volodymyr | 65 |
4 | PÉREZ Aitor | 70 |
5 | JUFRÉ Josep | 65 |
6 | ARTETXE Mikel | 61 |
7 | GUTIÉRREZ José Iván | 71 |
8 | PASCUAL LLORENTE Javier | 68 |
9 | EDO Ángel | 64 |
10 | FLORENCIO Xavier | 59 |
11 | RIGHI Daniele | 70 |
12 | FRIGO Dario | 66 |
16 | HORNER Chris | 70 |
17 | SIMONI Gilberto | 59 |
18 | BRUSEGHIN Marzio | 70 |
19 | RUBIERA José Luis | 69 |
21 | CONTADOR Alberto | 61 |
22 | CARUSO Giampaolo | 60 |
23 | BENÍTEZ José Alberto | 66 |
24 | FERRÍO Jorge | 51 |
25 | JØRGENSEN René | 60 |
27 | GUTIÉRREZ José Enrique | 78 |
28 | HERAS Roberto | 59 |
29 | PEÑA Victor Hugo | 65 |