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 = 0.3 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Vos
2
58 kgLichtenberg
4
52 kgFernandes
6
54 kgBoyarskaya
7
67 kgCorneo
15
54 kgHagiwara
18
52 kgBaccaille
20
61 kgSlappendel
21
67 kgHohl
23
55 kgVisser
29
59 kgWild
31
75 kgGarcía
33
54 kgTreier
34
62 kgvan Dijk
36
71 kgBronzini
37
54 kgBecker
40
64 kgStiajkina
41
51 kgHenrion
44
60 kgJasinska
49
57 kg
2
58 kgLichtenberg
4
52 kgFernandes
6
54 kgBoyarskaya
7
67 kgCorneo
15
54 kgHagiwara
18
52 kgBaccaille
20
61 kgSlappendel
21
67 kgHohl
23
55 kgVisser
29
59 kgWild
31
75 kgGarcía
33
54 kgTreier
34
62 kgvan Dijk
36
71 kgBronzini
37
54 kgBecker
40
64 kgStiajkina
41
51 kgHenrion
44
60 kgJasinska
49
57 kg
Weight (KG) →
Result →
75
51
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VOS Marianne | 58 |
| 4 | LICHTENBERG Claudia | 52 |
| 6 | FERNANDES Clemilda | 54 |
| 7 | BOYARSKAYA Natalia | 67 |
| 15 | CORNEO Sigrid | 54 |
| 18 | HAGIWARA Mayuko | 52 |
| 20 | BACCAILLE Monia | 61 |
| 21 | SLAPPENDEL Iris | 67 |
| 23 | HOHL Jennifer | 55 |
| 29 | VISSER Adrie | 59 |
| 31 | WILD Kirsten | 75 |
| 33 | GARCÍA Evelyn | 54 |
| 34 | TREIER Grete | 62 |
| 36 | VAN DIJK Ellen | 71 |
| 37 | BRONZINI Giorgia | 54 |
| 40 | BECKER Charlotte | 64 |
| 41 | STIAJKINA Tatiana | 51 |
| 44 | HENRION Ludivine | 60 |
| 49 | JASINSKA Małgorzata | 57 |