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 + 63
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Klein
1
61 kgBalsamo
2
55 kgPirrone
5
63 kgKastelijn
6
52 kgCavalli
7
53 kgWiebes
9
60 kgAndersen
10
55 kgAlzini
12
64 kgVan Velzen
14
57 kgSchweinberger
16
63 kgVerdonschot
18
52 kgRiffel
19
57 kgGrossetête
20
60 kgPersico
22
53 kgVandenbulcke
24
60 kgvan Houtum
27
55 kgDocx
28
52 kgTruyen
29
55 kgDelbaere
30
51 kgBarbieri
31
55 kg
1
61 kgBalsamo
2
55 kgPirrone
5
63 kgKastelijn
6
52 kgCavalli
7
53 kgWiebes
9
60 kgAndersen
10
55 kgAlzini
12
64 kgVan Velzen
14
57 kgSchweinberger
16
63 kgVerdonschot
18
52 kgRiffel
19
57 kgGrossetête
20
60 kgPersico
22
53 kgVandenbulcke
24
60 kgvan Houtum
27
55 kgDocx
28
52 kgTruyen
29
55 kgDelbaere
30
51 kgBarbieri
31
55 kg
Weight (KG) →
Result →
64
51
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KLEIN Lisa | 61 |
| 2 | BALSAMO Elisa | 55 |
| 5 | PIRRONE Elena | 63 |
| 6 | KASTELIJN Yara | 52 |
| 7 | CAVALLI Marta | 53 |
| 9 | WIEBES Lorena | 60 |
| 10 | ANDERSEN Susanne | 55 |
| 12 | ALZINI Martina | 64 |
| 14 | VAN VELZEN Bryony | 57 |
| 16 | SCHWEINBERGER Kathrin | 63 |
| 18 | VERDONSCHOT Laura | 52 |
| 19 | RIFFEL Christa | 57 |
| 20 | GROSSETÊTE Maëlle | 60 |
| 22 | PERSICO Silvia | 53 |
| 24 | VANDENBULCKE Jesse | 60 |
| 27 | VAN HOUTUM Céline | 55 |
| 28 | DOCX Mieke | 52 |
| 29 | TRUYEN Marthe | 55 |
| 30 | DELBAERE Fien | 51 |
| 31 | BARBIERI Rachele | 55 |