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 = 1.3 * weight - 24
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Ekman
56
64 kgHerring
57
63 kgSalm
59
69 kgHaagensen
62
61 kgRooni
77
72 kg
56
64 kgHerring
57
63 kgSalm
59
69 kgHaagensen
62
61 kgRooni
77
72 kg
Weight (KG) →
Result →
72
61
56
77
| # | Rider | Weight (KG) |
|---|---|---|
| 56 | EKMAN Vilmer | 64 |
| 57 | HERRING Louis | 63 |
| 59 | SALM Jann | 69 |
| 62 | HAAGENSEN Magnus | 61 |
| 77 | ROONI Ron | 72 |