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 = 0.5 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Pirazzi
1
62 kgPliușchin
2
66 kgButler
3
61 kgPantano
4
61 kgSarmiento
5
58 kgRoe
6
66 kgChaves
7
55 kgHonkisz
8
61 kgGastauer
9
73 kgRovny
10
62 kgBetancur
11
60 kgFelline
12
68 kgKing
13
68 kgBrambilla
14
57 kgArguelyes
15
66 kgEijssen
16
60 kgBérard
17
70 kgMerino
18
55 kgSilin
19
61 kgReza
20
71 kgUchima
21
63 kgSelander
22
72 kgKristoff
25
78 kgMalori
27
68 kg
1
62 kgPliușchin
2
66 kgButler
3
61 kgPantano
4
61 kgSarmiento
5
58 kgRoe
6
66 kgChaves
7
55 kgHonkisz
8
61 kgGastauer
9
73 kgRovny
10
62 kgBetancur
11
60 kgFelline
12
68 kgKing
13
68 kgBrambilla
14
57 kgArguelyes
15
66 kgEijssen
16
60 kgBérard
17
70 kgMerino
18
55 kgSilin
19
61 kgReza
20
71 kgUchima
21
63 kgSelander
22
72 kgKristoff
25
78 kgMalori
27
68 kg
Weight (KG) →
Result →
78
55
1
27
# | Rider | Weight (KG) |
---|---|---|
1 | PIRAZZI Stefano | 62 |
2 | PLIUȘCHIN Alexandr | 66 |
3 | BUTLER Chris | 61 |
4 | PANTANO Jarlinson | 61 |
5 | SARMIENTO Cayetano José | 58 |
6 | ROE Timothy | 66 |
7 | CHAVES Esteban | 55 |
8 | HONKISZ Adrian | 61 |
9 | GASTAUER Ben | 73 |
10 | ROVNY Ivan | 62 |
11 | BETANCUR Carlos | 60 |
12 | FELLINE Fabio | 68 |
13 | KING Ben | 68 |
14 | BRAMBILLA Gianluca | 57 |
15 | ARGUELYES Arkimedes | 66 |
16 | EIJSSEN Yannick | 60 |
17 | BÉRARD Julien | 70 |
18 | MERINO Pedro | 55 |
19 | SILIN Egor | 61 |
20 | REZA Kévin | 71 |
21 | UCHIMA Kohei | 63 |
22 | SELANDER Bjorn | 72 |
25 | KRISTOFF Alexander | 78 |
27 | MALORI Adriano | 68 |