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 + 31
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Boyarskaya
2
67 kgBronzini
4
54 kgVos
5
58 kgHenrion
6
60 kgFernandes
8
54 kgWild
9
75 kgBaccaille
12
61 kgTreier
21
62 kgJasinska
26
57 kgLichtenberg
27
52 kgHagiwara
29
52 kgCorneo
30
54 kgGarcía
42
54 kgSlappendel
45
67 kgVisser
51
59 kgStiajkina
52
51 kgHohl
56
55 kgvan Dijk
60
71 kgBecker
64
64 kg
2
67 kgBronzini
4
54 kgVos
5
58 kgHenrion
6
60 kgFernandes
8
54 kgWild
9
75 kgBaccaille
12
61 kgTreier
21
62 kgJasinska
26
57 kgLichtenberg
27
52 kgHagiwara
29
52 kgCorneo
30
54 kgGarcía
42
54 kgSlappendel
45
67 kgVisser
51
59 kgStiajkina
52
51 kgHohl
56
55 kgvan Dijk
60
71 kgBecker
64
64 kg
Weight (KG) →
Result →
75
51
2
64
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOYARSKAYA Natalia | 67 |
| 4 | BRONZINI Giorgia | 54 |
| 5 | VOS Marianne | 58 |
| 6 | HENRION Ludivine | 60 |
| 8 | FERNANDES Clemilda | 54 |
| 9 | WILD Kirsten | 75 |
| 12 | BACCAILLE Monia | 61 |
| 21 | TREIER Grete | 62 |
| 26 | JASINSKA Małgorzata | 57 |
| 27 | LICHTENBERG Claudia | 52 |
| 29 | HAGIWARA Mayuko | 52 |
| 30 | CORNEO Sigrid | 54 |
| 42 | GARCÍA Evelyn | 54 |
| 45 | SLAPPENDEL Iris | 67 |
| 51 | VISSER Adrie | 59 |
| 52 | STIAJKINA Tatiana | 51 |
| 56 | HOHL Jennifer | 55 |
| 60 | VAN DIJK Ellen | 71 |
| 64 | BECKER Charlotte | 64 |