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 = 1.4 * weight - 71
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Ghekiere
1
52 kgBauernfeind
3
53 kgVan de Velde
4
58 kgvan Agt
5
54 kgManly
8
53 kgAdegeest
13
57 kgCampbell
20
63 kg
1
52 kgBauernfeind
3
53 kgVan de Velde
4
58 kgvan Agt
5
54 kgManly
8
53 kgAdegeest
13
57 kgCampbell
20
63 kg
Weight (KG) →
Result →
63
52
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GHEKIERE Justine | 52 |
| 3 | BAUERNFEIND Ricarda | 53 |
| 4 | VAN DE VELDE Julie | 58 |
| 5 | VAN AGT Eva | 54 |
| 8 | MANLY Alexandra | 53 |
| 13 | ADEGEEST Loes | 57 |
| 20 | CAMPBELL Teniel | 63 |