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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BINI Aldo | 72 |
| 7 | VIGNOLI Adriano | 72 |
| 9 | SIMONINI Settimo | 66 |
| 12 | COPPI Fausto | 72 |
| 13 | RIMOLDI Pietro | 80 |
| 21 | BERGAMASCHI Vasco | 73 |
| 23 | BARTALI Gino | 69 |
| 24 | SERVADEI Glauco | 80 |
| 29 | VALETTI Giovanni | 74 |