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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bourreau
2
63 kgJourdan
3
64 kgBittinger
4
69 kgDuclos-Lassalle
6
73 kg
2
63 kgJourdan
3
64 kgBittinger
4
69 kgDuclos-Lassalle
6
73 kg
Weight (KG) →
Result →
73
63
2
6
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOURREAU Bernard | 63 |
| 3 | JOURDAN Christian | 64 |
| 4 | BITTINGER René | 69 |
| 6 | DUCLOS-LASSALLE Gilbert | 73 |