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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Carapaz
1
62 kgHiguita
2
57 kgGroves
3
76 kgBauhaus
4
75 kgAlmeida
5
63 kgO'Connor
7
67 kgVernon
8
74 kgQuintana
9
58 kgAyuso
10
65 kgGodon
11
74 kgBou
12
62 kgOkamika
13
70 kgPacher
14
62 kgHofstetter
15
66 kgJohannessen
16
62 kgPetilli
17
65 kgSoler
18
68 kgNicolau
19
66 kgPedersen
20
71 kgMoreno
21
59 kgLópez
22
60 kgCosta
23
69 kgBizkarra
24
53 kgHerrada
25
70 kg
1
62 kgHiguita
2
57 kgGroves
3
76 kgBauhaus
4
75 kgAlmeida
5
63 kgO'Connor
7
67 kgVernon
8
74 kgQuintana
9
58 kgAyuso
10
65 kgGodon
11
74 kgBou
12
62 kgOkamika
13
70 kgPacher
14
62 kgHofstetter
15
66 kgJohannessen
16
62 kgPetilli
17
65 kgSoler
18
68 kgNicolau
19
66 kgPedersen
20
71 kgMoreno
21
59 kgLópez
22
60 kgCosta
23
69 kgBizkarra
24
53 kgHerrada
25
70 kg
Weight (KG) →
Result →
76
53
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | CARAPAZ Richard | 62 |
2 | HIGUITA Sergio | 57 |
3 | GROVES Kaden | 76 |
4 | BAUHAUS Phil | 75 |
5 | ALMEIDA João | 63 |
7 | O'CONNOR Ben | 67 |
8 | VERNON Ethan | 74 |
9 | QUINTANA Nairo | 58 |
10 | AYUSO Juan | 65 |
11 | GODON Dorian | 74 |
12 | BOU Joan | 62 |
13 | OKAMIKA Ander | 70 |
14 | PACHER Quentin | 62 |
15 | HOFSTETTER Hugo | 66 |
16 | JOHANNESSEN Tobias Halland | 62 |
17 | PETILLI Simone | 65 |
18 | SOLER Marc | 68 |
19 | NICOLAU Joel | 66 |
20 | PEDERSEN Casper | 71 |
21 | MORENO Adrià | 59 |
22 | LÓPEZ Juan Pedro | 60 |
23 | COSTA Rui | 69 |
24 | BIZKARRA Mikel | 53 |
25 | HERRADA Jesús | 70 |