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 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Skalniak-Sójka
1
54 kgShekel
3
58 kgNerlo
4
65 kgStannard
7
55 kgKononenko
8
68 kgNiedermaier
17
52 kgVieceli
19
59 kgPirrone
22
63 kgVarenyk
24
59 kgBrandt Heisel
26
52 kgStorrie
28
58 kgYaroshenko
31
60 kgMissiaggia
52
53 kgEklund
61
58 kgCollinelli
68
62 kgScandolara
69
52 kg
1
54 kgShekel
3
58 kgNerlo
4
65 kgStannard
7
55 kgKononenko
8
68 kgNiedermaier
17
52 kgVieceli
19
59 kgPirrone
22
63 kgVarenyk
24
59 kgBrandt Heisel
26
52 kgStorrie
28
58 kgYaroshenko
31
60 kgMissiaggia
52
53 kgEklund
61
58 kgCollinelli
68
62 kgScandolara
69
52 kg
Weight (KG) →
Result →
68
52
1
69
# | Rider | Weight (KG) |
---|---|---|
1 | SKALNIAK-SÓJKA Agnieszka | 54 |
3 | SHEKEL Olga | 58 |
4 | NERLO Aurela | 65 |
7 | STANNARD Elizabeth | 55 |
8 | KONONENKO Valeriya | 68 |
17 | NIEDERMAIER Antonia | 52 |
19 | VIECELI Lara | 59 |
22 | PIRRONE Elena | 63 |
24 | VARENYK Maryna | 59 |
26 | BRANDT HEISEL Maja Winther | 52 |
28 | STORRIE Becky | 58 |
31 | YAROSHENKO Viktoriia | 60 |
52 | MISSIAGGIA Alessia | 53 |
61 | EKLUND Nathalie | 58 |
68 | COLLINELLI Sofia | 62 |
69 | SCANDOLARA Valentina | 52 |