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 = 2.7 * weight - 124
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Kiesenhofer
2
54 kgPitel
3
52 kgYonamine
5
51 kgGarcía
6
56 kgRiabchenko
7
57 kgNilsson
11
58 kgJackson
14
63 kgPlichta
15
60 kgAalerud
19
54 kgSicot
25
58 kgGafinovitz
30
52 kgLuebke
33
54 kgVieceli
36
59 kgPrieto
38
54 kgPaladin
39
59 kgValsecchi
44
58 kgRijkes
56
57 kgKononenko
68
68 kgPattaro
73
60 kg
2
54 kgPitel
3
52 kgYonamine
5
51 kgGarcía
6
56 kgRiabchenko
7
57 kgNilsson
11
58 kgJackson
14
63 kgPlichta
15
60 kgAalerud
19
54 kgSicot
25
58 kgGafinovitz
30
52 kgLuebke
33
54 kgVieceli
36
59 kgPrieto
38
54 kgPaladin
39
59 kgValsecchi
44
58 kgRijkes
56
57 kgKononenko
68
68 kgPattaro
73
60 kg
Weight (KG) →
Result →
68
51
2
73
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KIESENHOFER Anna | 54 |
| 3 | PITEL Edwige | 52 |
| 5 | YONAMINE Eri | 51 |
| 6 | GARCÍA Mavi | 56 |
| 7 | RIABCHENKO Tetyana | 57 |
| 11 | NILSSON Hanna | 58 |
| 14 | JACKSON Alison | 63 |
| 15 | PLICHTA Anna | 60 |
| 19 | AALERUD Katrine | 54 |
| 25 | SICOT Marion | 58 |
| 30 | GAFINOVITZ Rotem | 52 |
| 33 | LUEBKE Jennifer | 54 |
| 36 | VIECELI Lara | 59 |
| 38 | PRIETO Marcela Elizabeth | 54 |
| 39 | PALADIN Soraya | 59 |
| 44 | VALSECCHI Silvia | 58 |
| 56 | RIJKES Sarah | 57 |
| 68 | KONONENKO Valeriya | 68 |
| 73 | PATTARO Francesca | 60 |