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 + 2
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Zanini
5
80 kgMarin
10
67 kgKohut
15
65 kgEisel
17
74 kgValach
18
75 kgAug
19
83 kgPetrov
21
70 kgGasparre
25
60 kgStrgar
26
62 kgRogina
28
70 kgMiholjević
31
68 kgCancellara
35
80 kgMahorič
36
68 kgLupeikis
40
80 kgPozzato
41
73 kgMcCann
42
73 kgBonča
48
63 kgKvasina
53
72 kgMugerli
54
68 kgZamana
60
74 kgSinkewitz
75
63 kgGazvoda
81
72 kgMouris
85
91 kgKrupa
88
74 kg
5
80 kgMarin
10
67 kgKohut
15
65 kgEisel
17
74 kgValach
18
75 kgAug
19
83 kgPetrov
21
70 kgGasparre
25
60 kgStrgar
26
62 kgRogina
28
70 kgMiholjević
31
68 kgCancellara
35
80 kgMahorič
36
68 kgLupeikis
40
80 kgPozzato
41
73 kgMcCann
42
73 kgBonča
48
63 kgKvasina
53
72 kgMugerli
54
68 kgZamana
60
74 kgSinkewitz
75
63 kgGazvoda
81
72 kgMouris
85
91 kgKrupa
88
74 kg
Weight (KG) →
Result →
91
60
5
88
# | Rider | Weight (KG) |
---|---|---|
5 | ZANINI Stefano | 80 |
10 | MARIN Matej | 67 |
15 | KOHUT Sławomir | 65 |
17 | EISEL Bernhard | 74 |
18 | VALACH Ján | 75 |
19 | AUG Andrus | 83 |
21 | PETROV Evgeni | 70 |
25 | GASPARRE Graziano | 60 |
26 | STRGAR Matic | 62 |
28 | ROGINA Radoslav | 70 |
31 | MIHOLJEVIĆ Vladimir | 68 |
35 | CANCELLARA Fabian | 80 |
36 | MAHORIČ Mitja | 68 |
40 | LUPEIKIS Remigius | 80 |
41 | POZZATO Filippo | 73 |
42 | MCCANN David | 73 |
48 | BONČA Valter | 63 |
53 | KVASINA Matija | 72 |
54 | MUGERLI Matej | 68 |
60 | ZAMANA Cezary | 74 |
75 | SINKEWITZ Patrik | 63 |
81 | GAZVODA Gregor | 72 |
85 | MOURIS Jens | 91 |
88 | KRUPA Dawid | 74 |