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 = -0.6 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Copponi
1
55 kgMartins
3
61 kgFortin
4
55 kgDe Wilde
5
62 kgAlzini
7
64 kgDocx
8
52 kgDruyts
9
62 kgTruyen
11
55 kgCastrique
14
63 kgGhekiere
16
52 kgKastelijn
22
52 kgGrossetête
23
60 kgAllin
28
58 kgBerteau
30
57 kgDuval
37
53 kgNeylan
38
52 kgDrummond
47
61 kgPomares
49
63 kgTacey
56
62 kgJoncheray
80
55 kgvan Agt
85
54 kg
1
55 kgMartins
3
61 kgFortin
4
55 kgDe Wilde
5
62 kgAlzini
7
64 kgDocx
8
52 kgDruyts
9
62 kgTruyen
11
55 kgCastrique
14
63 kgGhekiere
16
52 kgKastelijn
22
52 kgGrossetête
23
60 kgAllin
28
58 kgBerteau
30
57 kgDuval
37
53 kgNeylan
38
52 kgDrummond
47
61 kgPomares
49
63 kgTacey
56
62 kgJoncheray
80
55 kgvan Agt
85
54 kg
Weight (KG) →
Result →
64
52
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COPPONI Clara | 55 |
| 3 | MARTINS Maria | 61 |
| 4 | FORTIN Valentine | 55 |
| 5 | DE WILDE Julie | 62 |
| 7 | ALZINI Martina | 64 |
| 8 | DOCX Mieke | 52 |
| 9 | DRUYTS Kelly | 62 |
| 11 | TRUYEN Marthe | 55 |
| 14 | CASTRIQUE Alana | 63 |
| 16 | GHEKIERE Justine | 52 |
| 22 | KASTELIJN Yara | 52 |
| 23 | GROSSETÊTE Maëlle | 60 |
| 28 | ALLIN Pauline | 58 |
| 30 | BERTEAU Victoire | 57 |
| 37 | DUVAL Eugénie | 53 |
| 38 | NEYLAN Rachel | 52 |
| 47 | DRUMMOND Michaela | 61 |
| 49 | POMARES Cindy | 63 |
| 56 | TACEY April | 62 |
| 80 | JONCHERAY Victoire | 55 |
| 85 | VAN AGT Eva | 54 |