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 = 1.7 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Schleicher
1
58 kgMelchers
4
59 kgvan den Brand
15
51 kgGilmore
16
56 kgHenrion
20
60 kgDoppmann
26
55 kgBecker
29
64 kgBeltman
32
68 kgWild
33
75 kgArndt
39
59 kgBronzini
41
54 kgCooke
42
58 kgVžesniauskaitė
44
57 kgVillumsen
47
59 kgWyman
67
56 kgGunnewijk
73
67 kgKoedooder
75
69 kgLindberg
93
63 kgRossner
105
64 kg
1
58 kgMelchers
4
59 kgvan den Brand
15
51 kgGilmore
16
56 kgHenrion
20
60 kgDoppmann
26
55 kgBecker
29
64 kgBeltman
32
68 kgWild
33
75 kgArndt
39
59 kgBronzini
41
54 kgCooke
42
58 kgVžesniauskaitė
44
57 kgVillumsen
47
59 kgWyman
67
56 kgGunnewijk
73
67 kgKoedooder
75
69 kgLindberg
93
63 kgRossner
105
64 kg
Weight (KG) →
Result →
75
51
1
105
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHLEICHER Regina | 58 |
| 4 | MELCHERS Mirjam | 59 |
| 15 | VAN DEN BRAND Daphny | 51 |
| 16 | GILMORE Rochelle | 56 |
| 20 | HENRION Ludivine | 60 |
| 26 | DOPPMANN Priska | 55 |
| 29 | BECKER Charlotte | 64 |
| 32 | BELTMAN Chantal | 68 |
| 33 | WILD Kirsten | 75 |
| 39 | ARNDT Judith | 59 |
| 41 | BRONZINI Giorgia | 54 |
| 42 | COOKE Nicole | 58 |
| 44 | VŽESNIAUSKAITĖ Modesta | 57 |
| 47 | VILLUMSEN Linda | 59 |
| 67 | WYMAN Helen | 56 |
| 73 | GUNNEWIJK Loes | 67 |
| 75 | KOEDOODER Vera | 69 |
| 93 | LINDBERG Madeleine | 63 |
| 105 | ROSSNER Petra | 64 |