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 = 0.4 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SELVAGGI Mirko | 73 |
| 4 | MARTIN Dan | 59 |
| 8 | FINETTO Mauro | 62 |
| 10 | PONZI Simone | 63 |
| 11 | STORTONI Simone | 59 |
| 14 | TANNER David | 70 |
| 16 | CARUSO Damiano | 67 |
| 17 | PICHETTA Ricardo | 56 |
| 19 | SIMON Julien | 65 |
| 20 | KADRI Blel | 66 |
| 24 | CAPELLI Ermano | 78 |
| 25 | WURF Cameron | 71 |