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 = 1.2 * weight - 66
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Duez
9
64 kgMealli
19
73 kgSimpson
20
69 kgVigna
21
67 kgBeheyt
28
71 kgLacombe
29
77 kg
9
64 kgMealli
19
73 kgSimpson
20
69 kgVigna
21
67 kgBeheyt
28
71 kgLacombe
29
77 kg
Weight (KG) →
Result →
77
64
9
29
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | DUEZ Henri | 64 |
| 19 | MEALLI Bruno | 73 |
| 20 | SIMPSON Tom | 69 |
| 21 | VIGNA Marino | 67 |
| 28 | BEHEYT Benoni | 71 |
| 29 | LACOMBE Roland | 77 |