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 = 1.5 * weight - 52
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Doebel-Hickok
1
51 kgYonamine
2
51 kgBauernfeind
3
53 kgDocx
20
52 kgZanardi
21
56 kgPowless
22
59 kgFranz
26
52 kgRomeu
28
61 kgNewsom
32
59 kgPisciali
38
63 kgWirski
40
57 kgVarenyk
41
59 kgLaurance
48
62 kgPoidevin
53
56 kgKuijpers
60
73 kgSvarinska
72
53 kgJimenez Martinez
74
53 kg
1
51 kgYonamine
2
51 kgBauernfeind
3
53 kgDocx
20
52 kgZanardi
21
56 kgPowless
22
59 kgFranz
26
52 kgRomeu
28
61 kgNewsom
32
59 kgPisciali
38
63 kgWirski
40
57 kgVarenyk
41
59 kgLaurance
48
62 kgPoidevin
53
56 kgKuijpers
60
73 kgSvarinska
72
53 kgJimenez Martinez
74
53 kg
Weight (KG) →
Result →
73
51
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOEBEL-HICKOK Krista | 51 |
| 2 | YONAMINE Eri | 51 |
| 3 | BAUERNFEIND Ricarda | 53 |
| 20 | DOCX Mieke | 52 |
| 21 | ZANARDI Silvia | 56 |
| 22 | POWLESS Shayna | 59 |
| 26 | FRANZ Heidi | 52 |
| 28 | ROMEU Marta | 61 |
| 32 | NEWSOM Emily | 59 |
| 38 | PISCIALI Francesca | 63 |
| 40 | WIRSKI Erica | 57 |
| 41 | VARENYK Maryna | 59 |
| 48 | LAURANCE Typhaine | 62 |
| 53 | POIDEVIN Sara | 56 |
| 60 | KUIJPERS Evy | 73 |
| 72 | SVARINSKA Lina | 53 |
| 74 | JIMENEZ MARTINEZ Maria del Pilar | 53 |