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 = 1.2 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | POLANC Jan | 62 |
| 9 | TATARINOV Gennadiy | 67 |
| 10 | MANFREDI Andrea | 54 |
| 11 | DYBALL Benjamin | 63 |
| 15 | PUCCIO Salvatore | 68 |
| 18 | ŠTIMULAK Klemen | 64 |
| 22 | AGOSTINI Stefano | 62 |
| 26 | FONZI Giuseppe | 63 |
| 33 | KERBY Jordan | 71 |
| 41 | KOSHEVOY Ilia | 62.5 |
| 43 | FEDI Andrea | 70 |
| 44 | MOSER Moreno | 64 |
| 45 | BATTAGLIN Enrico | 64 |