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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Neves
1
61 kgBarthe
2
70 kgCampos
3
60 kgGonçalves
4
64 kgJuaristi
5
67.5 kgSilva
6
54 kgArnoult
8
60 kgMoreno
11
56 kgMartingil
12
67 kgDelettre
14
62 kgNunes
15
64 kgAdrià
16
64 kgDe Rossi
17
70 kgRuiz
18
68 kgGalván
19
69 kgMagalhães
20
63 kgScheulen
21
73 kgLourenço
22
67 kg
1
61 kgBarthe
2
70 kgCampos
3
60 kgGonçalves
4
64 kgJuaristi
5
67.5 kgSilva
6
54 kgArnoult
8
60 kgMoreno
11
56 kgMartingil
12
67 kgDelettre
14
62 kgNunes
15
64 kgAdrià
16
64 kgDe Rossi
17
70 kgRuiz
18
68 kgGalván
19
69 kgMagalhães
20
63 kgScheulen
21
73 kgLourenço
22
67 kg
Weight (KG) →
Result →
73
54
1
22
# | Rider | Weight (KG) |
---|---|---|
1 | NEVES José | 61 |
2 | BARTHE Cyril | 70 |
3 | CAMPOS Francisco | 60 |
4 | GONÇALVES Gaspar | 64 |
5 | JUARISTI Txomin | 67.5 |
6 | SILVA Paulo | 54 |
8 | ARNOULT Floryan | 60 |
11 | MORENO Iván | 56 |
12 | MARTINGIL César | 67 |
14 | DELETTRE Alexandre | 62 |
15 | NUNES Hugo | 64 |
16 | ADRIÀ Roger | 64 |
17 | DE ROSSI Lucas | 70 |
18 | RUIZ Carlos | 68 |
19 | GALVÁN Francisco | 69 |
20 | MAGALHÃES Jorge | 63 |
21 | SCHEULEN Marvin | 73 |
22 | LOURENÇO Rafael | 67 |