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 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Almeida
2
63 kgO'Connor
3
67 kgGroves
4
76 kgQuintana
5
58 kgAyuso
6
65 kgBauhaus
7
75 kgBou
8
62 kgOkamika
9
70 kgHiguita
10
57 kgPacher
11
62 kgHofstetter
12
66 kgPetilli
13
65 kgDonovan
14
70 kgSoler
15
68 kgPedersen
16
71 kgMoreno
17
59 kgArmirail
18
72 kgLópez
19
60 kgDelacroix
20
70 kgBizkarra
21
53 kgHerrada
22
70 kgGodon
23
74 kg
2
63 kgO'Connor
3
67 kgGroves
4
76 kgQuintana
5
58 kgAyuso
6
65 kgBauhaus
7
75 kgBou
8
62 kgOkamika
9
70 kgHiguita
10
57 kgPacher
11
62 kgHofstetter
12
66 kgPetilli
13
65 kgDonovan
14
70 kgSoler
15
68 kgPedersen
16
71 kgMoreno
17
59 kgArmirail
18
72 kgLópez
19
60 kgDelacroix
20
70 kgBizkarra
21
53 kgHerrada
22
70 kgGodon
23
74 kg
Weight (KG) →
Result →
76
53
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ALMEIDA João | 63 |
| 3 | O'CONNOR Ben | 67 |
| 4 | GROVES Kaden | 76 |
| 5 | QUINTANA Nairo | 58 |
| 6 | AYUSO Juan | 65 |
| 7 | BAUHAUS Phil | 75 |
| 8 | BOU Joan | 62 |
| 9 | OKAMIKA Ander | 70 |
| 10 | HIGUITA Sergio | 57 |
| 11 | PACHER Quentin | 62 |
| 12 | HOFSTETTER Hugo | 66 |
| 13 | PETILLI Simone | 65 |
| 14 | DONOVAN Mark | 70 |
| 15 | SOLER Marc | 68 |
| 16 | PEDERSEN Casper | 71 |
| 17 | MORENO Adrià | 59 |
| 18 | ARMIRAIL Bruno | 72 |
| 19 | LÓPEZ Juan Pedro | 60 |
| 20 | DELACROIX Théo | 70 |
| 21 | BIZKARRA Mikel | 53 |
| 22 | HERRADA Jesús | 70 |
| 23 | GODON Dorian | 74 |