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 = 2.1 * weight - 118
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Beheyt
5
71 kgDaems
8
64 kgPost
20
79 kgForé
47
73 kgMealli
49
73 kgNijdam
61
75 kg
5
71 kgDaems
8
64 kgPost
20
79 kgForé
47
73 kgMealli
49
73 kgNijdam
61
75 kg
Weight (KG) →
Result →
79
64
5
61
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BEHEYT Benoni | 71 |
| 8 | DAEMS Emile | 64 |
| 20 | POST Peter | 79 |
| 47 | FORÉ Noël | 73 |
| 49 | MEALLI Bruno | 73 |
| 61 | NIJDAM Henk | 75 |