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 = -2.1 * weight + 147
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Shekel
2
58 kgSkalniak-Sójka
3
54 kgNerlo
9
65 kgStannard
12
55 kgCollinelli
15
62 kgVieceli
16
59 kgPirrone
17
63 kgKononenko
22
68 kgVarenyk
23
59 kgBrandt Heisel
27
52 kgYaroshenko
30
60 kgEklund
34
58 kgNiedermaier
44
52 kgStorrie
46
58 kgMissiaggia
64
53 kgScandolara
77
52 kg
2
58 kgSkalniak-Sójka
3
54 kgNerlo
9
65 kgStannard
12
55 kgCollinelli
15
62 kgVieceli
16
59 kgPirrone
17
63 kgKononenko
22
68 kgVarenyk
23
59 kgBrandt Heisel
27
52 kgYaroshenko
30
60 kgEklund
34
58 kgNiedermaier
44
52 kgStorrie
46
58 kgMissiaggia
64
53 kgScandolara
77
52 kg
Weight (KG) →
Result →
68
52
2
77
# | Rider | Weight (KG) |
---|---|---|
2 | SHEKEL Olga | 58 |
3 | SKALNIAK-SÓJKA Agnieszka | 54 |
9 | NERLO Aurela | 65 |
12 | STANNARD Elizabeth | 55 |
15 | COLLINELLI Sofia | 62 |
16 | VIECELI Lara | 59 |
17 | PIRRONE Elena | 63 |
22 | KONONENKO Valeriya | 68 |
23 | VARENYK Maryna | 59 |
27 | BRANDT HEISEL Maja Winther | 52 |
30 | YAROSHENKO Viktoriia | 60 |
34 | EKLUND Nathalie | 58 |
44 | NIEDERMAIER Antonia | 52 |
46 | STORRIE Becky | 58 |
64 | MISSIAGGIA Alessia | 53 |
77 | SCANDOLARA Valentina | 52 |