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 * weight + 17
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Rooni
6
72 kgHewes
10
69 kgJackowiak
11
65 kgRosato
19
57 kgDijkman
20
55 kgVassal
28
65 kgBennetzen
40
72 kg
6
72 kgHewes
10
69 kgJackowiak
11
65 kgRosato
19
57 kgDijkman
20
55 kgVassal
28
65 kgBennetzen
40
72 kg
Weight (KG) →
Result →
72
55
6
40
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ROONI Ron | 72 |
| 10 | HEWES Alex | 69 |
| 11 | JACKOWIAK Jan Michal | 65 |
| 19 | ROSATO Giacomo | 57 |
| 20 | DIJKMAN Daan | 55 |
| 28 | VASSAL Théophile | 65 |
| 40 | BENNETZEN Lucca | 72 |