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 - 44
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Cooke
1
58 kgWood
3
56 kgKiesanowski
4
56 kgMartisova
9
64 kgMelchers
14
59 kgGunnewijk
16
67 kgPučinskaitė
22
54 kgDe Vocht
31
61 kgVillumsen
32
59 kgVžesniauskaitė
34
57 kgBeltman
35
68 kgDoppmann
38
55 kgCarrigan
40
60 kgGuderzo
45
54 kgGrassi
47
56 kgCorneo
59
54 kgWild
67
75 kgVisser
68
59 kgLindberg
69
63 kgKoedooder
83
69 kgHenrion
93
60 kg
1
58 kgWood
3
56 kgKiesanowski
4
56 kgMartisova
9
64 kgMelchers
14
59 kgGunnewijk
16
67 kgPučinskaitė
22
54 kgDe Vocht
31
61 kgVillumsen
32
59 kgVžesniauskaitė
34
57 kgBeltman
35
68 kgDoppmann
38
55 kgCarrigan
40
60 kgGuderzo
45
54 kgGrassi
47
56 kgCorneo
59
54 kgWild
67
75 kgVisser
68
59 kgLindberg
69
63 kgKoedooder
83
69 kgHenrion
93
60 kg
Weight (KG) →
Result →
75
54
1
93
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COOKE Nicole | 58 |
| 3 | WOOD Oenone | 56 |
| 4 | KIESANOWSKI Joanne | 56 |
| 9 | MARTISOVA Julia | 64 |
| 14 | MELCHERS Mirjam | 59 |
| 16 | GUNNEWIJK Loes | 67 |
| 22 | PUČINSKAITĖ Edita | 54 |
| 31 | DE VOCHT Liesbet | 61 |
| 32 | VILLUMSEN Linda | 59 |
| 34 | VŽESNIAUSKAITĖ Modesta | 57 |
| 35 | BELTMAN Chantal | 68 |
| 38 | DOPPMANN Priska | 55 |
| 40 | CARRIGAN Sara | 60 |
| 45 | GUDERZO Tatiana | 54 |
| 47 | GRASSI Giuseppina | 56 |
| 59 | CORNEO Sigrid | 54 |
| 67 | WILD Kirsten | 75 |
| 68 | VISSER Adrie | 59 |
| 69 | LINDBERG Madeleine | 63 |
| 83 | KOEDOODER Vera | 69 |
| 93 | HENRION Ludivine | 60 |