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 = 0.3 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
de la Calle
1
65 kgFernández
2
57 kgPescador
3
60 kgCastellon
4
55 kgMorgado
7
71 kgGuardeño
8
62 kgWenzel
9
68 kgGimeno
10
60 kgBental
13
57 kgLedesma
14
55 kgSchmidt
16
78 kgAznar
17
59 kgVăidian
18
67 kgGarcía
20
60 kgSutton
21
68 kgCorres
23
63 kgPiciu
24
64 kgButa
25
68 kgFrancisco
31
62 kgCorbadora
32
63 kg
1
65 kgFernández
2
57 kgPescador
3
60 kgCastellon
4
55 kgMorgado
7
71 kgGuardeño
8
62 kgWenzel
9
68 kgGimeno
10
60 kgBental
13
57 kgLedesma
14
55 kgSchmidt
16
78 kgAznar
17
59 kgVăidian
18
67 kgGarcía
20
60 kgSutton
21
68 kgCorres
23
63 kgPiciu
24
64 kgButa
25
68 kgFrancisco
31
62 kgCorbadora
32
63 kg
Weight (KG) →
Result →
78
55
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE LA CALLE Hugo | 65 |
| 2 | FERNÁNDEZ Samuel | 57 |
| 3 | PESCADOR Diego | 60 |
| 4 | CASTELLON Jan | 55 |
| 7 | MORGADO António | 71 |
| 8 | GUARDEÑO Jaume | 62 |
| 9 | WENZEL Mats | 68 |
| 10 | GIMENO Nil | 60 |
| 13 | BENTAL Aviv | 57 |
| 14 | LEDESMA Gerard | 55 |
| 16 | SCHMIDT Jakob | 78 |
| 17 | AZNAR Hugo | 59 |
| 18 | VĂIDIAN Iustin-Ioan | 67 |
| 20 | GARCÍA Álvaro | 60 |
| 21 | SUTTON Louis | 68 |
| 23 | CORRES Gorka | 63 |
| 24 | PICIU Mattew-Denis | 64 |
| 25 | BUTA Catalin | 68 |
| 31 | FRANCISCO Jude Gabriel | 62 |
| 32 | CORBADORA Edson | 63 |