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 = 1.6 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Skalniak-Sójka
2
54 kgKononenko
5
68 kgNerlo
6
65 kgStannard
11
55 kgShekel
12
58 kgNiedermaier
19
52 kgVieceli
22
59 kgVarenyk
23
59 kgStorrie
28
58 kgPirrone
29
63 kgBrandt Heisel
32
52 kgYaroshenko
46
60 kgCasagranda
47
58 kgMissiaggia
62
53 kgEklund
82
58 kgScandolara
83
52 kgFidanza
84
60 kgLewis
91
67 kgCollinelli
99
62 kgLorenzen
108
71 kg
2
54 kgKononenko
5
68 kgNerlo
6
65 kgStannard
11
55 kgShekel
12
58 kgNiedermaier
19
52 kgVieceli
22
59 kgVarenyk
23
59 kgStorrie
28
58 kgPirrone
29
63 kgBrandt Heisel
32
52 kgYaroshenko
46
60 kgCasagranda
47
58 kgMissiaggia
62
53 kgEklund
82
58 kgScandolara
83
52 kgFidanza
84
60 kgLewis
91
67 kgCollinelli
99
62 kgLorenzen
108
71 kg
Weight (KG) →
Result →
71
52
2
108
# | Rider | Weight (KG) |
---|---|---|
2 | SKALNIAK-SÓJKA Agnieszka | 54 |
5 | KONONENKO Valeriya | 68 |
6 | NERLO Aurela | 65 |
11 | STANNARD Elizabeth | 55 |
12 | SHEKEL Olga | 58 |
19 | NIEDERMAIER Antonia | 52 |
22 | VIECELI Lara | 59 |
23 | VARENYK Maryna | 59 |
28 | STORRIE Becky | 58 |
29 | PIRRONE Elena | 63 |
32 | BRANDT HEISEL Maja Winther | 52 |
46 | YAROSHENKO Viktoriia | 60 |
47 | CASAGRANDA Andrea | 58 |
62 | MISSIAGGIA Alessia | 53 |
82 | EKLUND Nathalie | 58 |
83 | SCANDOLARA Valentina | 52 |
84 | FIDANZA Martina | 60 |
91 | LEWIS Sophie | 67 |
99 | COLLINELLI Sofia | 62 |
108 | LORENZEN Christina Bragh | 71 |