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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Cort
1
68 kgCanal
2
70 kgMarcellusi
3
62 kgMesa
4
68 kgLonardi
5
70 kgFagúndez
7
67 kgCavia
8
62 kgCobo
9
64 kgWarlop
10
71 kgOkamika
11
70 kgPeñuela
12
56 kgRochas
13
51 kgPiganzoli
15
61 kgChumil
16
62 kgGee
18
72 kgFernández
21
60 kgMatias
22
72 kgCepeda
24
61 kgPeña
26
56 kgVansevenant
28
60 kgSainbayar
29
60 kgMoreira
30
76 kgNych
32
74 kg
1
68 kgCanal
2
70 kgMarcellusi
3
62 kgMesa
4
68 kgLonardi
5
70 kgFagúndez
7
67 kgCavia
8
62 kgCobo
9
64 kgWarlop
10
71 kgOkamika
11
70 kgPeñuela
12
56 kgRochas
13
51 kgPiganzoli
15
61 kgChumil
16
62 kgGee
18
72 kgFernández
21
60 kgMatias
22
72 kgCepeda
24
61 kgPeña
26
56 kgVansevenant
28
60 kgSainbayar
29
60 kgMoreira
30
76 kgNych
32
74 kg
Weight (KG) →
Result →
76
51
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORT Magnus | 68 |
| 2 | CANAL Carlos | 70 |
| 3 | MARCELLUSI Martin | 62 |
| 4 | MESA Santiago | 68 |
| 5 | LONARDI Giovanni | 70 |
| 7 | FAGÚNDEZ Eric Antonio | 67 |
| 8 | CAVIA Daniel | 62 |
| 9 | COBO Iván | 64 |
| 10 | WARLOP Jordi | 71 |
| 11 | OKAMIKA Ander | 70 |
| 12 | PEÑUELA Francisco Joel | 56 |
| 13 | ROCHAS Rémy | 51 |
| 15 | PIGANZOLI Davide | 61 |
| 16 | CHUMIL Sergio Geovani | 62 |
| 18 | GEE Derek | 72 |
| 21 | FERNÁNDEZ Rubén | 60 |
| 22 | MATIAS João | 72 |
| 24 | CEPEDA Jefferson Alveiro | 61 |
| 26 | PEÑA Jesús David | 56 |
| 28 | VANSEVENANT Mauri | 60 |
| 29 | SAINBAYAR Jambaljamts | 60 |
| 30 | MOREIRA Mauricio | 76 |
| 32 | NYCH Artem | 74 |