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 + 16
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Arrieta
1
64 kgHerzog
2
74 kgSheffield
4
73 kgDe Pretto
6
58 kgWidar
8
54 kgNordhagen
9
59 kgPonomar
12
65 kgBoichis
14
68 kgAugust
17
57 kgDe Cassan
20
61 kgRaccagni Noviero
21
75 kgRex
22
70 kgVan Hautegem
23
64 kgLópez
24
64 kgBasset
25
69 kgSavino
26
70 kgPutz
28
62 kgFinn
35
63 kgBaers
38
62 kgOioli
40
65 kgCabedo
42
57 kgShmidt
43
76 kgRaccagni
44
63 kgTaillieu
47
68 kg
1
64 kgHerzog
2
74 kgSheffield
4
73 kgDe Pretto
6
58 kgWidar
8
54 kgNordhagen
9
59 kgPonomar
12
65 kgBoichis
14
68 kgAugust
17
57 kgDe Cassan
20
61 kgRaccagni Noviero
21
75 kgRex
22
70 kgVan Hautegem
23
64 kgLópez
24
64 kgBasset
25
69 kgSavino
26
70 kgPutz
28
62 kgFinn
35
63 kgBaers
38
62 kgOioli
40
65 kgCabedo
42
57 kgShmidt
43
76 kgRaccagni
44
63 kgTaillieu
47
68 kg
Weight (KG) →
Result →
76
54
1
47
# | Rider | Weight (KG) |
---|---|---|
1 | ARRIETA Igor | 64 |
2 | HERZOG Emil | 74 |
4 | SHEFFIELD Magnus | 73 |
6 | DE PRETTO Davide | 58 |
8 | WIDAR Jarno | 54 |
9 | NORDHAGEN Jørgen | 59 |
12 | PONOMAR Andrii | 65 |
14 | BOICHIS Adrien | 68 |
17 | AUGUST Andrew | 57 |
20 | DE CASSAN Davide | 61 |
21 | RACCAGNI NOVIERO Andrea | 75 |
22 | REX Tim | 70 |
23 | VAN HAUTEGEM Leander | 64 |
24 | LÓPEZ Ian | 64 |
25 | BASSET Pierre-Henry | 69 |
26 | SAVINO Federico | 70 |
28 | PUTZ Sebastian | 62 |
35 | FINN Lorenzo | 63 |
38 | BAERS Arne | 62 |
40 | OIOLI Manuel | 65 |
42 | CABEDO Marc | 57 |
43 | SHMIDT Artem | 76 |
44 | RACCAGNI Gabriele | 63 |
47 | TAILLIEU Aldo | 68 |