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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Hayter
1
70 kgSchmid
2
70 kgAberasturi
3
69 kgAranburu
4
63 kgAular
5
65 kgMartínez
6
63 kgJuaristi
7
67.5 kgCarapaz
8
62 kgHermans
9
62 kgSerrano
10
65 kgSkjelmose
11
65 kgVingegaard
12
58 kgScaroni
13
63 kgBarrenetxea
14
74 kgBagioli
15
60 kgSoler
16
68 kgRodríguez
17
59 kgSmith
18
67 kgIzagirre
19
60 kgFraile
21
72 kg
1
70 kgSchmid
2
70 kgAberasturi
3
69 kgAranburu
4
63 kgAular
5
65 kgMartínez
6
63 kgJuaristi
7
67.5 kgCarapaz
8
62 kgHermans
9
62 kgSerrano
10
65 kgSkjelmose
11
65 kgVingegaard
12
58 kgScaroni
13
63 kgBarrenetxea
14
74 kgBagioli
15
60 kgSoler
16
68 kgRodríguez
17
59 kgSmith
18
67 kgIzagirre
19
60 kgFraile
21
72 kg
Weight (KG) →
Result →
74
58
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAYTER Ethan | 70 |
| 2 | SCHMID Mauro | 70 |
| 3 | ABERASTURI Jon | 69 |
| 4 | ARANBURU Alex | 63 |
| 5 | AULAR Orluis | 65 |
| 6 | MARTÍNEZ Daniel Felipe | 63 |
| 7 | JUARISTI Txomin | 67.5 |
| 8 | CARAPAZ Richard | 62 |
| 9 | HERMANS Quinten | 62 |
| 10 | SERRANO Gonzalo | 65 |
| 11 | SKJELMOSE Mattias | 65 |
| 12 | VINGEGAARD Jonas | 58 |
| 13 | SCARONI Christian | 63 |
| 14 | BARRENETXEA Jon | 74 |
| 15 | BAGIOLI Andrea | 60 |
| 16 | SOLER Marc | 68 |
| 17 | RODRÍGUEZ Cristián | 59 |
| 18 | SMITH Dion | 67 |
| 19 | IZAGIRRE Ion | 60 |
| 21 | FRAILE Omar | 72 |