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 = -0.7 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Soler
1
68 kgGarcía Cortina
2
77 kgJohansen
3
77 kgCovi
4
66 kgde la Calle
5
65 kgBarceló
7
65 kgChumil
9
62 kgMolenaar
10
63 kgFernández
11
57 kgMorgado
12
71 kgJuaristi
13
67.5 kgPescador
15
60 kgGuerin
16
65 kgPedrero
17
60 kgDíaz
18
64 kgGuardeño
19
62 kgIribar
20
64 kgCastellon
21
55 kg
1
68 kgGarcía Cortina
2
77 kgJohansen
3
77 kgCovi
4
66 kgde la Calle
5
65 kgBarceló
7
65 kgChumil
9
62 kgMolenaar
10
63 kgFernández
11
57 kgMorgado
12
71 kgJuaristi
13
67.5 kgPescador
15
60 kgGuerin
16
65 kgPedrero
17
60 kgDíaz
18
64 kgGuardeño
19
62 kgIribar
20
64 kgCastellon
21
55 kg
Weight (KG) →
Result →
77
55
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLER Marc | 68 |
| 2 | GARCÍA CORTINA Iván | 77 |
| 3 | JOHANSEN Julius | 77 |
| 4 | COVI Alessandro | 66 |
| 5 | DE LA CALLE Hugo | 65 |
| 7 | BARCELÓ Fernando | 65 |
| 9 | CHUMIL Sergio Geovani | 62 |
| 10 | MOLENAAR Alex | 63 |
| 11 | FERNÁNDEZ Samuel | 57 |
| 12 | MORGADO António | 71 |
| 13 | JUARISTI Txomin | 67.5 |
| 15 | PESCADOR Diego | 60 |
| 16 | GUERIN Alexis | 65 |
| 17 | PEDRERO Antonio | 60 |
| 18 | DÍAZ José Manuel | 64 |
| 19 | GUARDEÑO Jaume | 62 |
| 20 | IRIBAR Unai | 64 |
| 21 | CASTELLON Jan | 55 |