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 = 0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Eisel
5
74 kgMarin
9
67 kgStrgar
15
62 kgKrupa
19
74 kgZanini
32
80 kgLupeikis
33
80 kgRogina
37
70 kgMcCann
38
73 kgMiholjević
39
68 kgKvasina
43
72 kgMahorič
49
68 kgGasparre
62
60 kgCancellara
65
80 kgPetrov
66
70 kgKohut
67
65 kgPozzato
68
73 kgMouris
70
91 kgValach
72
75 kgBonča
75
63 kgSinkewitz
76
63 kgMugerli
77
68 kgZamana
82
74 kgGazvoda
87
72 kgAug
88
83 kg
5
74 kgMarin
9
67 kgStrgar
15
62 kgKrupa
19
74 kgZanini
32
80 kgLupeikis
33
80 kgRogina
37
70 kgMcCann
38
73 kgMiholjević
39
68 kgKvasina
43
72 kgMahorič
49
68 kgGasparre
62
60 kgCancellara
65
80 kgPetrov
66
70 kgKohut
67
65 kgPozzato
68
73 kgMouris
70
91 kgValach
72
75 kgBonča
75
63 kgSinkewitz
76
63 kgMugerli
77
68 kgZamana
82
74 kgGazvoda
87
72 kgAug
88
83 kg
Weight (KG) →
Result →
91
60
5
88
# | Rider | Weight (KG) |
---|---|---|
5 | EISEL Bernhard | 74 |
9 | MARIN Matej | 67 |
15 | STRGAR Matic | 62 |
19 | KRUPA Dawid | 74 |
32 | ZANINI Stefano | 80 |
33 | LUPEIKIS Remigius | 80 |
37 | ROGINA Radoslav | 70 |
38 | MCCANN David | 73 |
39 | MIHOLJEVIĆ Vladimir | 68 |
43 | KVASINA Matija | 72 |
49 | MAHORIČ Mitja | 68 |
62 | GASPARRE Graziano | 60 |
65 | CANCELLARA Fabian | 80 |
66 | PETROV Evgeni | 70 |
67 | KOHUT Sławomir | 65 |
68 | POZZATO Filippo | 73 |
70 | MOURIS Jens | 91 |
72 | VALACH Ján | 75 |
75 | BONČA Valter | 63 |
76 | SINKEWITZ Patrik | 63 |
77 | MUGERLI Matej | 68 |
82 | ZAMANA Cezary | 74 |
87 | GAZVODA Gregor | 72 |
88 | AUG Andrus | 83 |