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 = -1.9 * weight + 133
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Weck
1
68 kgFayolle
3
63 kgRuozzi
4
63 kgAmpurias
19
64 kgLanteri
23
63 kg
1
68 kgFayolle
3
63 kgRuozzi
4
63 kgAmpurias
19
64 kgLanteri
23
63 kg
Weight (KG) →
Result →
68
63
1
23
# | Rider | Weight (KG) |
---|---|---|
1 | WECK Alfred | 68 |
3 | FAYOLLE Fernand | 63 |
4 | RUOZZI Gabriel | 63 |
19 | AMPURIAS Jean | 64 |
23 | LANTERI Paulin | 63 |