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 = -0 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Niedermaier
1
52 kgAdegeest
2
57 kgZanardi
5
56 kgSteels
8
55 kgErić
14
53 kgPeñuela
20
53 kgFranz
25
52 kgOyarbide
26
52 kgLaurance
27
62 kgVarenyk
32
59 kgVitillo
33
51 kgGonzález
39
51 kgRomeu
42
61 kgBreck
46
59 kgClevenger
52
57 kgSvarinska
55
53 kgPayer
59
52 kgBritz
66
53 kg
1
52 kgAdegeest
2
57 kgZanardi
5
56 kgSteels
8
55 kgErić
14
53 kgPeñuela
20
53 kgFranz
25
52 kgOyarbide
26
52 kgLaurance
27
62 kgVarenyk
32
59 kgVitillo
33
51 kgGonzález
39
51 kgRomeu
42
61 kgBreck
46
59 kgClevenger
52
57 kgSvarinska
55
53 kgPayer
59
52 kgBritz
66
53 kg
Weight (KG) →
Result →
62
51
1
66
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIEDERMAIER Antonia | 52 |
| 2 | ADEGEEST Loes | 57 |
| 5 | ZANARDI Silvia | 56 |
| 8 | STEELS Claire | 55 |
| 14 | ERIĆ Jelena | 53 |
| 20 | PEÑUELA Diana | 53 |
| 25 | FRANZ Heidi | 52 |
| 26 | OYARBIDE Lourdes | 52 |
| 27 | LAURANCE Typhaine | 62 |
| 32 | VARENYK Maryna | 59 |
| 33 | VITILLO Matilde | 51 |
| 39 | GONZÁLEZ Alicia | 51 |
| 42 | ROMEU Marta | 61 |
| 46 | BRECK Holly | 59 |
| 52 | CLEVENGER Erica | 57 |
| 55 | SVARINSKA Lina | 53 |
| 59 | PAYER Kira | 52 |
| 66 | BRITZ Azulde | 53 |