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 = 0.9 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Kopecky
1
66 kgCant
2
57 kgGhekiere
3
52 kgVandenbulcke
6
60 kgBastiaenssen
9
62 kgTas
13
55 kgDemey
15
56 kgPeeters
16
54 kgDocx
24
52 kgVan Mechelen
40
61 kgVerdonschot
43
52 kgVan de Velde
45
58 kgCastrique
46
63 kgDruyts
47
62 kgSels
50
65 kgLacompte
59
65 kgBrouckaert
66
55 kg
1
66 kgCant
2
57 kgGhekiere
3
52 kgVandenbulcke
6
60 kgBastiaenssen
9
62 kgTas
13
55 kgDemey
15
56 kgPeeters
16
54 kgDocx
24
52 kgVan Mechelen
40
61 kgVerdonschot
43
52 kgVan de Velde
45
58 kgCastrique
46
63 kgDruyts
47
62 kgSels
50
65 kgLacompte
59
65 kgBrouckaert
66
55 kg
Weight (KG) →
Result →
66
52
1
66
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOPECKY Lotte | 66 |
| 2 | CANT Sanne | 57 |
| 3 | GHEKIERE Justine | 52 |
| 6 | VANDENBULCKE Jesse | 60 |
| 9 | BASTIAENSSEN Fauve | 62 |
| 13 | TAS Sandrine | 55 |
| 15 | DEMEY Valerie | 56 |
| 16 | PEETERS Jinse | 54 |
| 24 | DOCX Mieke | 52 |
| 40 | VAN MECHELEN Gloria | 61 |
| 43 | VERDONSCHOT Laura | 52 |
| 45 | VAN DE VELDE Julie | 58 |
| 46 | CASTRIQUE Alana | 63 |
| 47 | DRUYTS Kelly | 62 |
| 50 | SELS Loes | 65 |
| 59 | LACOMPTE Amber | 65 |
| 66 | BROUCKAERT Sophie | 55 |