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 + 67
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
López
8
67 kgDemey
13
56 kgVitillo
20
51 kgPeeters
33
54 kgVan Mechelen
34
61 kgStultiens
35
58 kgVan de Velde
95
58 kg
8
67 kgDemey
13
56 kgVitillo
20
51 kgPeeters
33
54 kgVan Mechelen
34
61 kgStultiens
35
58 kgVan de Velde
95
58 kg
Weight (KG) →
Result →
67
51
8
95
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | LÓPEZ Marga | 67 |
| 13 | DEMEY Valerie | 56 |
| 20 | VITILLO Matilde | 51 |
| 33 | PEETERS Jinse | 54 |
| 34 | VAN MECHELEN Gloria | 61 |
| 35 | STULTIENS Sabrina | 58 |
| 95 | VAN DE VELDE Julie | 58 |