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 = 40.2 * weight - 2048
This means that on average for every extra kilogram weight a rider loses 40.2 positions in the result.
Bartali
4
69 kgCottur
990
74 kgSimonini
990
66 kgBini
990
72 kgCoppi
990
72 kg
4
69 kgCottur
990
74 kgSimonini
990
66 kgBini
990
72 kgCoppi
990
72 kg
Weight (KG) →
Result →
74
66
4
990
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BARTALI Gino | 69 |
| 990 | COTTUR Giordano | 74 |
| 990 | SIMONINI Settimo | 66 |
| 990 | BINI Aldo | 72 |
| 990 | COPPI Fausto | 72 |