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 - 43
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Fidanza
1
60 kgSkalniak-Sójka
3
54 kgCollinelli
8
62 kgMissiaggia
15
53 kgPirrone
19
63 kgKononenko
24
68 kgVieceli
30
59 kgNerlo
44
65 kgBrandt Heisel
45
52 kgShekel
46
58 kgNiedermaier
48
52 kgStannard
49
55 kgYaroshenko
51
60 kgVarenyk
52
59 kgCasagranda
59
58 kgScandolara
68
52 kgRamirez
77
54 kgEklund
80
58 kgStorrie
84
58 kgLewis
117
67 kgLorenzen
118
71 kg
1
60 kgSkalniak-Sójka
3
54 kgCollinelli
8
62 kgMissiaggia
15
53 kgPirrone
19
63 kgKononenko
24
68 kgVieceli
30
59 kgNerlo
44
65 kgBrandt Heisel
45
52 kgShekel
46
58 kgNiedermaier
48
52 kgStannard
49
55 kgYaroshenko
51
60 kgVarenyk
52
59 kgCasagranda
59
58 kgScandolara
68
52 kgRamirez
77
54 kgEklund
80
58 kgStorrie
84
58 kgLewis
117
67 kgLorenzen
118
71 kg
Weight (KG) →
Result →
71
52
1
118
# | Rider | Weight (KG) |
---|---|---|
1 | FIDANZA Martina | 60 |
3 | SKALNIAK-SÓJKA Agnieszka | 54 |
8 | COLLINELLI Sofia | 62 |
15 | MISSIAGGIA Alessia | 53 |
19 | PIRRONE Elena | 63 |
24 | KONONENKO Valeriya | 68 |
30 | VIECELI Lara | 59 |
44 | NERLO Aurela | 65 |
45 | BRANDT HEISEL Maja Winther | 52 |
46 | SHEKEL Olga | 58 |
48 | NIEDERMAIER Antonia | 52 |
49 | STANNARD Elizabeth | 55 |
51 | YAROSHENKO Viktoriia | 60 |
52 | VARENYK Maryna | 59 |
59 | CASAGRANDA Andrea | 58 |
68 | SCANDOLARA Valentina | 52 |
77 | RAMIREZ Andrea | 54 |
80 | EKLUND Nathalie | 58 |
84 | STORRIE Becky | 58 |
117 | LEWIS Sophie | 67 |
118 | LORENZEN Christina Bragh | 71 |