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 = 1.1 * weight - 28
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
de Baat
1
56 kgBastiaenssen
5
62 kgCastrique
7
63 kgCant
8
57 kgDe Wilde
11
62 kgTas
17
55 kgTruyen
18
55 kgBrouckaert
21
55 kgVan Loy
28
65 kgVandenbulcke
31
60 kgFranck
35
51 kgGhekiere
41
52 kgDocx
45
52 kgSels
46
65 kgKopecky
51
66 kgVerdonschot
53
52 kgDruyts
62
62 kgVan de Velde
64
58 kgVandenbroucke
68
63 kgBeckers
85
67 kg
1
56 kgBastiaenssen
5
62 kgCastrique
7
63 kgCant
8
57 kgDe Wilde
11
62 kgTas
17
55 kgTruyen
18
55 kgBrouckaert
21
55 kgVan Loy
28
65 kgVandenbulcke
31
60 kgFranck
35
51 kgGhekiere
41
52 kgDocx
45
52 kgSels
46
65 kgKopecky
51
66 kgVerdonschot
53
52 kgDruyts
62
62 kgVan de Velde
64
58 kgVandenbroucke
68
63 kgBeckers
85
67 kg
Weight (KG) →
Result →
67
51
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE BAAT Kim | 56 |
| 5 | BASTIAENSSEN Fauve | 62 |
| 7 | CASTRIQUE Alana | 63 |
| 8 | CANT Sanne | 57 |
| 11 | DE WILDE Julie | 62 |
| 17 | TAS Sandrine | 55 |
| 18 | TRUYEN Marthe | 55 |
| 21 | BROUCKAERT Sophie | 55 |
| 28 | VAN LOY Ellen | 65 |
| 31 | VANDENBULCKE Jesse | 60 |
| 35 | FRANCK Alicia | 51 |
| 41 | GHEKIERE Justine | 52 |
| 45 | DOCX Mieke | 52 |
| 46 | SELS Loes | 65 |
| 51 | KOPECKY Lotte | 66 |
| 53 | VERDONSCHOT Laura | 52 |
| 62 | DRUYTS Kelly | 62 |
| 64 | VAN DE VELDE Julie | 58 |
| 68 | VANDENBROUCKE Saartje | 63 |
| 85 | BECKERS Isabelle | 67 |