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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Manly
1
53 kgConfalonieri
4
56 kgBaker
5
66 kgVan de Velde
6
58 kgZanardi
8
56 kgLach
13
59 kg
1
53 kgConfalonieri
4
56 kgBaker
5
66 kgVan de Velde
6
58 kgZanardi
8
56 kgLach
13
59 kg
Weight (KG) →
Result →
66
53
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANLY Alexandra | 53 |
| 4 | CONFALONIERI Maria Giulia | 56 |
| 5 | BAKER Georgia | 66 |
| 6 | VAN DE VELDE Julie | 58 |
| 8 | ZANARDI Silvia | 56 |
| 13 | LACH Marta | 59 |