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 = 2.4 * weight - 102
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Ekman
45
64 kgHaagensen
50
61 kgSalm
51
69 kgHerring
52
63 kgRooni
81
72 kg
45
64 kgHaagensen
50
61 kgSalm
51
69 kgHerring
52
63 kgRooni
81
72 kg
Weight (KG) →
Result →
72
61
45
81
| # | Rider | Weight (KG) |
|---|---|---|
| 45 | EKMAN Vilmer | 64 |
| 50 | HAAGENSEN Magnus | 61 |
| 51 | SALM Jann | 69 |
| 52 | HERRING Louis | 63 |
| 81 | ROONI Ron | 72 |