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 + 26
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Nunes
1
64 kgPeña
3
56 kgNych
4
76 kgLeitão
5
65 kgTivani
7
67 kgLeal
8
59 kgCadena
9
63 kgGuerin
10
65 kgPeñuela
11
56 kgMesa
12
68 kgKretschy
13
63 kgCampos
15
60 kgSilva
17
67 kgPonomar
18
65 kgAntunes
20
55 kgGilmore
21
70 kgRota
22
64 kgCurto
24
60 kgMcDunphy
25
70 kgDíaz
26
62 kgLopes
27
59 kgMorais
28
68 kgHaug
30
67 kgArriola-Bengoa
31
52 kgLópez
33
66 kg
1
64 kgPeña
3
56 kgNych
4
76 kgLeitão
5
65 kgTivani
7
67 kgLeal
8
59 kgCadena
9
63 kgGuerin
10
65 kgPeñuela
11
56 kgMesa
12
68 kgKretschy
13
63 kgCampos
15
60 kgSilva
17
67 kgPonomar
18
65 kgAntunes
20
55 kgGilmore
21
70 kgRota
22
64 kgCurto
24
60 kgMcDunphy
25
70 kgDíaz
26
62 kgLopes
27
59 kgMorais
28
68 kgHaug
30
67 kgArriola-Bengoa
31
52 kgLópez
33
66 kg
Weight (KG) →
Result →
76
52
1
33
# | Rider | Weight (KG) |
---|---|---|
1 | NUNES Hugo | 64 |
3 | PEÑA Jesús David | 56 |
4 | NYCH Artem | 76 |
5 | LEITÃO Iúri | 65 |
7 | TIVANI German Nicolás | 67 |
8 | LEAL Tiago | 59 |
9 | CADENA Edgar David | 63 |
10 | GUERIN Alexis | 65 |
11 | PEÑUELA Francisco Joel | 56 |
12 | MESA Santiago | 68 |
13 | KRETSCHY Moritz | 63 |
15 | CAMPOS Francisco | 60 |
17 | SILVA Pedro | 67 |
18 | PONOMAR Andrii | 65 |
20 | ANTUNES Tiago | 55 |
21 | GILMORE Brady | 70 |
22 | ROTA Raúl | 64 |
24 | CURTO Edgar | 60 |
25 | MCDUNPHY Conn | 70 |
26 | DÍAZ Alex | 62 |
27 | LOPES Lucas | 59 |
28 | MORAIS Francisco | 68 |
30 | HAUG Kieran | 67 |
31 | ARRIOLA-BENGOA Julen | 52 |
33 | LÓPEZ Joseba | 66 |