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 = 1.4 * weight - 35
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Edwards
4
59 kgRoy
8
66 kgGigante
11
53 kgBertizzolo
16
54 kgSanguineti
18
61 kgManly
26
53 kgGonzález
31
51 kgZabelinskaya
32
52 kgFranz
42
52 kgKakhkhorova
45
53 kgFournier
47
60 kgDoebel-Hickok
54
51 kgMisyurina
60
64 kgWilliams
62
66 kgVan De Velde
69
58 kgBaker
70
66 kgCordon-Ragot
72
60 kgBujak
74
63 kgVerhulst-Wild
81
58 kg
4
59 kgRoy
8
66 kgGigante
11
53 kgBertizzolo
16
54 kgSanguineti
18
61 kgManly
26
53 kgGonzález
31
51 kgZabelinskaya
32
52 kgFranz
42
52 kgKakhkhorova
45
53 kgFournier
47
60 kgDoebel-Hickok
54
51 kgMisyurina
60
64 kgWilliams
62
66 kgVan De Velde
69
58 kgBaker
70
66 kgCordon-Ragot
72
60 kgBujak
74
63 kgVerhulst-Wild
81
58 kg
Weight (KG) →
Result →
66
51
4
81
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | EDWARDS Ruth | 59 |
| 8 | ROY Sarah | 66 |
| 11 | GIGANTE Sarah | 53 |
| 16 | BERTIZZOLO Sofia | 54 |
| 18 | SANGUINETI Ilaria | 61 |
| 26 | MANLY Alexandra | 53 |
| 31 | GONZÁLEZ Alicia | 51 |
| 32 | ZABELINSKAYA Olga | 52 |
| 42 | FRANZ Heidi | 52 |
| 45 | KAKHKHOROVA Madina | 53 |
| 47 | FOURNIER Roxane | 60 |
| 54 | DOEBEL-HICKOK Krista | 51 |
| 60 | MISYURINA Margarita | 64 |
| 62 | WILLIAMS Lily | 66 |
| 69 | VAN DE VELDE Julie | 58 |
| 70 | BAKER Georgia | 66 |
| 72 | CORDON-RAGOT Audrey | 60 |
| 74 | BUJAK Eugenia | 63 |
| 81 | VERHULST-WILD Gladys | 58 |