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 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Arrieta
1
64 kgZana
2
65 kgMolenaar
3
63 kgRuiz
4
65 kgIribar
5
64 kgCanal
6
70 kgBarrenetxea
7
74 kgFetter
8
70 kgNovikov
9
65 kgFancellu
10
62 kgEl Gouzi
12
58 kgFrigo
13
70 kgMota
15
62 kgRojas
16
64 kgZurita
17
62 kgSalgueiro
19
68 kgGuerreiro
20
60 kgBennassar
21
75 kgGarcia
22
65 kg
1
64 kgZana
2
65 kgMolenaar
3
63 kgRuiz
4
65 kgIribar
5
64 kgCanal
6
70 kgBarrenetxea
7
74 kgFetter
8
70 kgNovikov
9
65 kgFancellu
10
62 kgEl Gouzi
12
58 kgFrigo
13
70 kgMota
15
62 kgRojas
16
64 kgZurita
17
62 kgSalgueiro
19
68 kgGuerreiro
20
60 kgBennassar
21
75 kgGarcia
22
65 kg
Weight (KG) →
Result →
75
58
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARRIETA Igor | 64 |
| 2 | ZANA Filippo | 65 |
| 3 | MOLENAAR Alex | 63 |
| 4 | RUIZ Ibon | 65 |
| 5 | IRIBAR Unai | 64 |
| 6 | CANAL Carlos | 70 |
| 7 | BARRENETXEA Jon | 74 |
| 8 | FETTER Erik | 70 |
| 9 | NOVIKOV Savva | 65 |
| 10 | FANCELLU Alessandro | 62 |
| 12 | EL GOUZI Omar | 58 |
| 13 | FRIGO Marco | 70 |
| 15 | MOTA Guilherme | 62 |
| 16 | ROJAS Brandon Alejandro | 64 |
| 17 | ZURITA Ricardo Alejandro | 62 |
| 19 | SALGUEIRO Carlos Miguel | 68 |
| 20 | GUERREIRO Francisco | 60 |
| 21 | BENNASSAR Joan Marti | 75 |
| 22 | GARCIA Guillermo | 65 |