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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kopecky
1
66 kgWiebes
2
60 kgMarkus
4
61 kgBalsamo
5
55 kgHenderson
6
58 kgVollering
8
57 kgSierra
10
57 kgSchweinberger
11
67 kgConfalonieri
13
56 kgPaternoster
15
53 kgBaker
16
66 kgSanguineti
18
61 kgvan Vleuten
22
59 kgBrand
23
57 kgAndersen
24
55 kgBoogaard
25
59 kgGuarischi
26
57 kgKlein
28
61 kg
1
66 kgWiebes
2
60 kgMarkus
4
61 kgBalsamo
5
55 kgHenderson
6
58 kgVollering
8
57 kgSierra
10
57 kgSchweinberger
11
67 kgConfalonieri
13
56 kgPaternoster
15
53 kgBaker
16
66 kgSanguineti
18
61 kgvan Vleuten
22
59 kgBrand
23
57 kgAndersen
24
55 kgBoogaard
25
59 kgGuarischi
26
57 kgKlein
28
61 kg
Weight (KG) →
Result →
67
53
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOPECKY Lotte | 66 |
| 2 | WIEBES Lorena | 60 |
| 4 | MARKUS Riejanne | 61 |
| 5 | BALSAMO Elisa | 55 |
| 6 | HENDERSON Anna | 58 |
| 8 | VOLLERING Demi | 57 |
| 10 | SIERRA Arlenis | 57 |
| 11 | SCHWEINBERGER Christina | 67 |
| 13 | CONFALONIERI Maria Giulia | 56 |
| 15 | PATERNOSTER Letizia | 53 |
| 16 | BAKER Georgia | 66 |
| 18 | SANGUINETI Ilaria | 61 |
| 22 | VAN VLEUTEN Annemiek | 59 |
| 23 | BRAND Lucinda | 57 |
| 24 | ANDERSEN Susanne | 55 |
| 25 | BOOGAARD Maaike | 59 |
| 26 | GUARISCHI Barbara | 57 |
| 28 | KLEIN Lisa | 61 |