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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Wild
1
75 kgHosking
2
60 kgvan Dijk
3
71 kgElvin
6
63 kgBronzini
7
54 kgFrapporti
8
63 kgJohansson
9
58 kgBrennauer
10
63 kgBrand
11
57 kgOlds
12
54 kgConfalonieri
14
56 kgCordon-Ragot
15
60 kgDuehring
16
54 kgGunnewijk
17
67 kgGuarischi
18
57 kgSpratt
19
55 kgBecker
20
64 kgJeuland-Tranchant
21
61 kg
1
75 kgHosking
2
60 kgvan Dijk
3
71 kgElvin
6
63 kgBronzini
7
54 kgFrapporti
8
63 kgJohansson
9
58 kgBrennauer
10
63 kgBrand
11
57 kgOlds
12
54 kgConfalonieri
14
56 kgCordon-Ragot
15
60 kgDuehring
16
54 kgGunnewijk
17
67 kgGuarischi
18
57 kgSpratt
19
55 kgBecker
20
64 kgJeuland-Tranchant
21
61 kg
Weight (KG) →
Result →
75
54
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | HOSKING Chloe | 60 |
| 3 | VAN DIJK Ellen | 71 |
| 6 | ELVIN Gracie | 63 |
| 7 | BRONZINI Giorgia | 54 |
| 8 | FRAPPORTI Simona | 63 |
| 9 | JOHANSSON Emma | 58 |
| 10 | BRENNAUER Lisa | 63 |
| 11 | BRAND Lucinda | 57 |
| 12 | OLDS Shelley | 54 |
| 14 | CONFALONIERI Maria Giulia | 56 |
| 15 | CORDON-RAGOT Audrey | 60 |
| 16 | DUEHRING Jasmin | 54 |
| 17 | GUNNEWIJK Loes | 67 |
| 18 | GUARISCHI Barbara | 57 |
| 19 | SPRATT Amanda | 55 |
| 20 | BECKER Charlotte | 64 |
| 21 | JEULAND-TRANCHANT Pascale | 61 |