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 = -1.9 * weight + 123
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Van Dam
2
58 kgVollering
3
57 kgVigié
4
58 kgVan De Velde
6
58 kgMartín
7
58 kgGhekiere
8
52 kgPaladin
9
59 kgCouzens
10
59 kgBlasi
12
57 kgSpratt
17
55 kgNiedermaier
20
52 kgGarcía
21
56 kgvan Agt
24
54 kgEdwards
28
59 kgJaskulska
32
52 kgRooijakkers
35
58 kgSmulders
37
51 kg
2
58 kgVollering
3
57 kgVigié
4
58 kgVan De Velde
6
58 kgMartín
7
58 kgGhekiere
8
52 kgPaladin
9
59 kgCouzens
10
59 kgBlasi
12
57 kgSpratt
17
55 kgNiedermaier
20
52 kgGarcía
21
56 kgvan Agt
24
54 kgEdwards
28
59 kgJaskulska
32
52 kgRooijakkers
35
58 kgSmulders
37
51 kg
Weight (KG) →
Result →
59
51
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DAM Sarah | 58 |
| 3 | VOLLERING Demi | 57 |
| 4 | VIGIÉ Margaux | 58 |
| 6 | VAN DE VELDE Julie | 58 |
| 7 | MARTÍN Sara | 58 |
| 8 | GHEKIERE Justine | 52 |
| 9 | PALADIN Soraya | 59 |
| 10 | COUZENS Millie | 59 |
| 12 | BLASI Paula | 57 |
| 17 | SPRATT Amanda | 55 |
| 20 | NIEDERMAIER Antonia | 52 |
| 21 | GARCÍA Mavi | 56 |
| 24 | VAN AGT Eva | 54 |
| 28 | EDWARDS Ruth | 59 |
| 32 | JASKULSKA Marta | 52 |
| 35 | ROOIJAKKERS Pauliena | 58 |
| 37 | SMULDERS Silke | 51 |