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 = 2.4 * weight - 109
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Confalonieri
1
56 kgWiebes
4
60 kgKastelijn
5
52 kgNeylan
6
52 kgAdegeest
7
57 kgStannard
8
55 kgCouzens
11
59 kgBoogaard
14
59 kgAlzini
33
64 kgSanguineti
37
61 kgTruyen
38
55 kgPirrone
39
63 kgDocx
50
52 kgGerritse
52
59 kgBerteau
57
57 kgRožlapa
60
63 kgvan Neck
65
63 kg
1
56 kgWiebes
4
60 kgKastelijn
5
52 kgNeylan
6
52 kgAdegeest
7
57 kgStannard
8
55 kgCouzens
11
59 kgBoogaard
14
59 kgAlzini
33
64 kgSanguineti
37
61 kgTruyen
38
55 kgPirrone
39
63 kgDocx
50
52 kgGerritse
52
59 kgBerteau
57
57 kgRožlapa
60
63 kgvan Neck
65
63 kg
Weight (KG) →
Result →
64
52
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CONFALONIERI Maria Giulia | 56 |
| 4 | WIEBES Lorena | 60 |
| 5 | KASTELIJN Yara | 52 |
| 6 | NEYLAN Rachel | 52 |
| 7 | ADEGEEST Loes | 57 |
| 8 | STANNARD Elizabeth | 55 |
| 11 | COUZENS Millie | 59 |
| 14 | BOOGAARD Maaike | 59 |
| 33 | ALZINI Martina | 64 |
| 37 | SANGUINETI Ilaria | 61 |
| 38 | TRUYEN Marthe | 55 |
| 39 | PIRRONE Elena | 63 |
| 50 | DOCX Mieke | 52 |
| 52 | GERRITSE Femke | 59 |
| 57 | BERTEAU Victoire | 57 |
| 60 | ROŽLAPA Dana | 63 |
| 65 | VAN NECK Melissa | 63 |