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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ULISSI Diego | 63 |
| 2 | PALINI Andrea | 67 |
| 3 | DI LUCA Danilo | 61 |
| 4 | BATTAGLIN Enrico | 64 |
| 5 | HUZARSKI Bartosz | 69 |
| 6 | PONZI Simone | 63 |
| 7 | SUTHERLAND Rory | 75 |
| 8 | BENEDETTI Cesare | 63 |
| 9 | RICHEZE Maximiliano | 68 |
| 10 | SERRY Pieter | 66 |