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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Soler
1
68 kgGarcía Cortina
2
77 kgJohansen
3
77 kgSchmidt
4
78 kgJuaristi
5
67.5 kgGarcía Pierna
6
58 kgSoto
8
66 kgDíaz
9
62 kgChumil
10
62 kgSerrano
11
65 kgGuerin
12
64 kgMolenaar
13
63 kgde la Calle
15
65 kgPedrero
19
60 kgPescador
20
60 kgMorgado
22
71 kgButa
23
68 kg
1
68 kgGarcía Cortina
2
77 kgJohansen
3
77 kgSchmidt
4
78 kgJuaristi
5
67.5 kgGarcía Pierna
6
58 kgSoto
8
66 kgDíaz
9
62 kgChumil
10
62 kgSerrano
11
65 kgGuerin
12
64 kgMolenaar
13
63 kgde la Calle
15
65 kgPedrero
19
60 kgPescador
20
60 kgMorgado
22
71 kgButa
23
68 kg
Weight (KG) →
Result →
78
58
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLER Marc | 68 |
| 2 | GARCÍA CORTINA Iván | 77 |
| 3 | JOHANSEN Julius | 77 |
| 4 | SCHMIDT Jakob | 78 |
| 5 | JUARISTI Txomin | 67.5 |
| 6 | GARCÍA PIERNA Carlos | 58 |
| 8 | SOTO Antonio Jesús | 66 |
| 9 | DÍAZ Alex | 62 |
| 10 | CHUMIL Sergio Geovani | 62 |
| 11 | SERRANO Gonzalo | 65 |
| 12 | GUERIN Alexis | 64 |
| 13 | MOLENAAR Alex | 63 |
| 15 | DE LA CALLE Hugo | 65 |
| 19 | PEDRERO Antonio | 60 |
| 20 | PESCADOR Diego | 60 |
| 22 | MORGADO António | 71 |
| 23 | BUTA Catalin | 68 |