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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Rooni
5
72 kgHewes
7
69 kgFitzgerald
9
73 kgDijkman
14
55 kgJackowiak
17
65 kgVassal
20
65 kgBennetzen
33
72 kg
5
72 kgHewes
7
69 kgFitzgerald
9
73 kgDijkman
14
55 kgJackowiak
17
65 kgVassal
20
65 kgBennetzen
33
72 kg
Weight (KG) →
Result →
73
55
5
33
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ROONI Ron | 72 |
| 7 | HEWES Alex | 69 |
| 9 | FITZGERALD Max | 73 |
| 14 | DIJKMAN Daan | 55 |
| 17 | JACKOWIAK Jan Michal | 65 |
| 20 | VASSAL Théophile | 65 |
| 33 | BENNETZEN Lucca | 72 |