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 = 0.1 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Groves
1
76 kgCarapaz
2
62 kgHiguita
3
57 kgAlmeida
4
63 kgO'Connor
5
67 kgBagioli
6
60 kgVernon
7
74 kgQuintana
8
58 kgAyuso
9
65 kgValter
10
65 kgGodon
11
74 kgBou
12
62 kgOkamika
13
70 kgPacher
14
62 kgBarceló
15
65 kgJohannessen
16
62 kgReichenbach
17
64 kgPetilli
18
65 kgNicolau
19
66 kgHerrada
20
70 kgCosta
21
69 kgBizkarra
22
53 kgTeuns
23
64 kgScotson
24
77 kg
1
76 kgCarapaz
2
62 kgHiguita
3
57 kgAlmeida
4
63 kgO'Connor
5
67 kgBagioli
6
60 kgVernon
7
74 kgQuintana
8
58 kgAyuso
9
65 kgValter
10
65 kgGodon
11
74 kgBou
12
62 kgOkamika
13
70 kgPacher
14
62 kgBarceló
15
65 kgJohannessen
16
62 kgReichenbach
17
64 kgPetilli
18
65 kgNicolau
19
66 kgHerrada
20
70 kgCosta
21
69 kgBizkarra
22
53 kgTeuns
23
64 kgScotson
24
77 kg
Weight (KG) →
Result →
77
53
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | GROVES Kaden | 76 |
2 | CARAPAZ Richard | 62 |
3 | HIGUITA Sergio | 57 |
4 | ALMEIDA João | 63 |
5 | O'CONNOR Ben | 67 |
6 | BAGIOLI Andrea | 60 |
7 | VERNON Ethan | 74 |
8 | QUINTANA Nairo | 58 |
9 | AYUSO Juan | 65 |
10 | VALTER Attila | 65 |
11 | GODON Dorian | 74 |
12 | BOU Joan | 62 |
13 | OKAMIKA Ander | 70 |
14 | PACHER Quentin | 62 |
15 | BARCELÓ Fernando | 65 |
16 | JOHANNESSEN Tobias Halland | 62 |
17 | REICHENBACH Sébastien | 64 |
18 | PETILLI Simone | 65 |
19 | NICOLAU Joel | 66 |
20 | HERRADA Jesús | 70 |
21 | COSTA Rui | 69 |
22 | BIZKARRA Mikel | 53 |
23 | TEUNS Dylan | 64 |
24 | SCOTSON Callum | 77 |