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 = -116.4 * weight + 8937
This means that on average for every extra kilogram weight a rider loses -116.4 positions in the result.
Bobet
1
74 kgBartali
990
69 kgGoutal
990
68 kgBourlon
990
72 kgVietto
990
67 kg
1
74 kgBartali
990
69 kgGoutal
990
68 kgBourlon
990
72 kgVietto
990
67 kg
Weight (KG) →
Result →
74
67
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOBET Louison | 74 |
| 990 | BARTALI Gino | 69 |
| 990 | GOUTAL Albert | 68 |
| 990 | BOURLON Albert | 72 |
| 990 | VIETTO René | 67 |