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 = -0.5 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Lamperti
1
74 kgLinarez
2
74 kgBarthe
3
70 kgAular
4
65 kgSilva
5
65 kgMesa
7
68 kgCaixas
10
66 kgGarcía
11
67 kgSorarrain
12
76 kgNarciso
13
72 kgReis
15
72 kgGarcía Pierna
16
58 kgMeireles
17
62 kgSousa
18
59 kgSilva
20
66 kgBennassar
21
75 kgMorais
22
68 kgAngulo
23
67 kgMolenaar
24
63 kg
1
74 kgLinarez
2
74 kgBarthe
3
70 kgAular
4
65 kgSilva
5
65 kgMesa
7
68 kgCaixas
10
66 kgGarcía
11
67 kgSorarrain
12
76 kgNarciso
13
72 kgReis
15
72 kgGarcía Pierna
16
58 kgMeireles
17
62 kgSousa
18
59 kgSilva
20
66 kgBennassar
21
75 kgMorais
22
68 kgAngulo
23
67 kgMolenaar
24
63 kg
Weight (KG) →
Result →
76
58
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | LAMPERTI Luke | 74 |
2 | LINAREZ Leangel Rubén | 74 |
3 | BARTHE Cyril | 70 |
4 | AULAR Orluis | 65 |
5 | SILVA Rafael | 65 |
7 | MESA Santiago | 68 |
10 | CAIXAS Rodrigo | 66 |
11 | GARCÍA José María | 67 |
12 | SORARRAIN Gorka | 76 |
13 | NARCISO Diogo | 72 |
15 | REIS Rafael | 72 |
16 | GARCÍA PIERNA Carlos | 58 |
17 | MEIRELES Nuno | 62 |
18 | SOUSA José | 59 |
20 | SILVA Joaquim | 66 |
21 | BENNASSAR Joan Marti | 75 |
22 | MORAIS Francisco | 68 |
23 | ANGULO Antonio | 67 |
24 | MOLENAAR Alex | 63 |