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 + 29
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Rooni
8
72 kgHewes
12
69 kgJackowiak
15
65 kgRosato
24
57 kgDijkman
25
55 kgVassal
36
65 kgBennetzen
45
72 kg
8
72 kgHewes
12
69 kgJackowiak
15
65 kgRosato
24
57 kgDijkman
25
55 kgVassal
36
65 kgBennetzen
45
72 kg
Weight (KG) →
Result →
72
55
8
45
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | ROONI Ron | 72 |
| 12 | HEWES Alex | 69 |
| 15 | JACKOWIAK Jan Michal | 65 |
| 24 | ROSATO Giacomo | 57 |
| 25 | DIJKMAN Daan | 55 |
| 36 | VASSAL Théophile | 65 |
| 45 | BENNETZEN Lucca | 72 |