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 = 0.8 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Kastelijn
1
52 kgGarcía
2
56 kgFaulkner
3
62 kgFranz
4
52 kgStephens
5
55 kgYonamine
6
51 kgOyarbide
7
52 kgAllin
8
58 kgPoidevin
10
56 kgKiesenhofer
12
54 kgGonzález
13
51 kgRiffel
16
57 kgLudwig
18
55 kgValsecchi
19
58 kgRijkes
20
57 kgGanzar
22
59 kgFrapporti
24
63 kgMarche
25
58 kgDixon
27
61 kgAlvarado
29
51 kgHosking
31
60 kgCurinier
33
53 kg
1
52 kgGarcía
2
56 kgFaulkner
3
62 kgFranz
4
52 kgStephens
5
55 kgYonamine
6
51 kgOyarbide
7
52 kgAllin
8
58 kgPoidevin
10
56 kgKiesenhofer
12
54 kgGonzález
13
51 kgRiffel
16
57 kgLudwig
18
55 kgValsecchi
19
58 kgRijkes
20
57 kgGanzar
22
59 kgFrapporti
24
63 kgMarche
25
58 kgDixon
27
61 kgAlvarado
29
51 kgHosking
31
60 kgCurinier
33
53 kg
Weight (KG) →
Result →
63
51
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KASTELIJN Yara | 52 |
| 2 | GARCÍA Mavi | 56 |
| 3 | FAULKNER Kristen | 62 |
| 4 | FRANZ Heidi | 52 |
| 5 | STEPHENS Lauren | 55 |
| 6 | YONAMINE Eri | 51 |
| 7 | OYARBIDE Lourdes | 52 |
| 8 | ALLIN Pauline | 58 |
| 10 | POIDEVIN Sara | 56 |
| 12 | KIESENHOFER Anna | 54 |
| 13 | GONZÁLEZ Alicia | 51 |
| 16 | RIFFEL Christa | 57 |
| 18 | LUDWIG Hannah | 55 |
| 19 | VALSECCHI Silvia | 58 |
| 20 | RIJKES Sarah | 57 |
| 22 | GANZAR Leigh Ann | 59 |
| 24 | FRAPPORTI Simona | 63 |
| 25 | MARCHE Shara | 58 |
| 27 | DIXON Leah | 61 |
| 29 | ALVARADO Ceylin del Carmen | 51 |
| 31 | HOSKING Chloe | 60 |
| 33 | CURINIER Léa | 53 |