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 = 1.4 * weight - 85
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COPPI Fausto | 72 |
| 2 | MOLLO Enrico | 62 |
| 3 | COTTUR Giordano | 74 |
| 4 | VICINI Mario | 76 |
| 7 | GENERATI Walter | 76 |
| 9 | BARTALI Gino | 69 |
| 10 | SIMONINI Settimo | 66 |
| 14 | VIGNOLI Adriano | 72 |
| 17 | VALETTI Giovanni | 74 |
| 22 | SERVADEI Glauco | 80 |
| 27 | INTROZZI Augusto | 75 |
| 43 | RIMOLDI Pietro | 80 |