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 = 28.9 * weight - 1228
This means that on average for every extra kilogram weight a rider loses 28.9 positions in the result.
Bartali
8
69 kgBobet
990
74 kgGoutal
990
68 kgBourlon
990
72 kgVietto
990
67 kg
8
69 kgBobet
990
74 kgGoutal
990
68 kgBourlon
990
72 kgVietto
990
67 kg
Weight (KG) →
Result →
74
67
8
990
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | BARTALI Gino | 69 |
| 990 | BOBET Louison | 74 |
| 990 | GOUTAL Albert | 68 |
| 990 | BOURLON Albert | 72 |
| 990 | VIETTO René | 67 |