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 = 1.5 * weight - 63
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Cunego
1
58 kgSella
2
54 kgLaverde
3
63 kgRodríguez
4
58 kgDe Marchi
7
65 kgVisconti
8
63 kgSchumacher
9
71 kgVicioso
10
60 kgMarzoli
11
61 kgCanuti
12
68 kgUlissi
14
63 kgChaves
15
55 kgMori
16
62 kgJones
17
64 kgMamos
20
72 kgSerpa
22
64 kgPantano
23
61 kgProni
24
68 kgStortoni
25
59 kgWegelius
26
62 kgSano
27
76 kgPirazzi
28
62 kgFailli
29
65 kgBertolini
31
63 kgMazzanti
32
64 kgNoè
33
65 kgCapelli
34
78 kgHrinkow
35
61 kgZaballa
36
66 kgMeier
38
61 kgMahorič
44
68 kgRicci Bitti
46
60 kgMegías
47
63 kgSpezialetti
48
67 kgEfimkin
49
70 kgLoosli
50
71 kgOchoa
51
62 kgDi Paolo
52
65 kgDonati
53
71 kgBisolti
55
58 kgSchelling
58
61 kgBileka
66
65 kgWhite
71
77 kgMalaguti
74
67 kgKvachuk
77
68 kgPagani
79
68 kg
1
58 kgSella
2
54 kgLaverde
3
63 kgRodríguez
4
58 kgDe Marchi
7
65 kgVisconti
8
63 kgSchumacher
9
71 kgVicioso
10
60 kgMarzoli
11
61 kgCanuti
12
68 kgUlissi
14
63 kgChaves
15
55 kgMori
16
62 kgJones
17
64 kgMamos
20
72 kgSerpa
22
64 kgPantano
23
61 kgProni
24
68 kgStortoni
25
59 kgWegelius
26
62 kgSano
27
76 kgPirazzi
28
62 kgFailli
29
65 kgBertolini
31
63 kgMazzanti
32
64 kgNoè
33
65 kgCapelli
34
78 kgHrinkow
35
61 kgZaballa
36
66 kgMeier
38
61 kgMahorič
44
68 kgRicci Bitti
46
60 kgMegías
47
63 kgSpezialetti
48
67 kgEfimkin
49
70 kgLoosli
50
71 kgOchoa
51
62 kgDi Paolo
52
65 kgDonati
53
71 kgBisolti
55
58 kgSchelling
58
61 kgBileka
66
65 kgWhite
71
77 kgMalaguti
74
67 kgKvachuk
77
68 kgPagani
79
68 kg
Weight (KG) →
Result →
78
54
1
79