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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DONATI Massimo | 75 |
| 4 | FORCONI Riccardo | 71 |
| 5 | VAINŠTEINS Romāns | 72 |
| 7 | BUGNO Gianni | 68 |
| 14 | NARDELLO Daniele | 74 |
| 17 | MAGNANI Marco | 64 |
| 20 | AXELSSON Niklas | 73 |
| 22 | TOSATTO Matteo | 74 |