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 = 87.1 * weight - 5447
This means that on average for every extra kilogram weight a rider loses 87.1 positions in the result.
Duez
10
64 kgVigna
15
67 kgMealli
990
73 kgSimpson
990
69 kgBeheyt
990
71 kgLacombe
990
77 kg
10
64 kgVigna
15
67 kgMealli
990
73 kgSimpson
990
69 kgBeheyt
990
71 kgLacombe
990
77 kg
Weight (KG) →
Result →
77
64
10
990
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | DUEZ Henri | 64 |
| 15 | VIGNA Marino | 67 |
| 990 | MEALLI Bruno | 73 |
| 990 | SIMPSON Tom | 69 |
| 990 | BEHEYT Benoni | 71 |
| 990 | LACOMBE Roland | 77 |