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 = 3.1 * weight - 149
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Wiebes
1
60 kgConfalonieri
3
56 kgKastelijn
7
52 kgAdegeest
8
57 kgNeylan
9
52 kgCouzens
10
59 kgTruyen
11
55 kgBoogaard
15
59 kgStannard
20
55 kgAlzini
35
64 kgDocx
49
52 kgGerritse
52
59 kgSanguineti
57
61 kgBerteau
59
57 kgPirrone
60
63 kgRožlapa
62
63 kgvan Neck
64
63 kg
1
60 kgConfalonieri
3
56 kgKastelijn
7
52 kgAdegeest
8
57 kgNeylan
9
52 kgCouzens
10
59 kgTruyen
11
55 kgBoogaard
15
59 kgStannard
20
55 kgAlzini
35
64 kgDocx
49
52 kgGerritse
52
59 kgSanguineti
57
61 kgBerteau
59
57 kgPirrone
60
63 kgRožlapa
62
63 kgvan Neck
64
63 kg
Weight (KG) →
Result →
64
52
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 3 | CONFALONIERI Maria Giulia | 56 |
| 7 | KASTELIJN Yara | 52 |
| 8 | ADEGEEST Loes | 57 |
| 9 | NEYLAN Rachel | 52 |
| 10 | COUZENS Millie | 59 |
| 11 | TRUYEN Marthe | 55 |
| 15 | BOOGAARD Maaike | 59 |
| 20 | STANNARD Elizabeth | 55 |
| 35 | ALZINI Martina | 64 |
| 49 | DOCX Mieke | 52 |
| 52 | GERRITSE Femke | 59 |
| 57 | SANGUINETI Ilaria | 61 |
| 59 | BERTEAU Victoire | 57 |
| 60 | PIRRONE Elena | 63 |
| 62 | ROŽLAPA Dana | 63 |
| 64 | VAN NECK Melissa | 63 |