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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SPEZIALETTI Alessandro | 67 |
| 4 | DONATI Massimo | 75 |
| 6 | SIMONI Gilberto | 59 |
| 7 | FORCONI Riccardo | 71 |
| 10 | SGAMBELLURI Roberto | 63 |
| 13 | MAGNANI Marco | 64 |
| 14 | AXELSSON Niklas | 73 |
| 15 | VALOTI Paolo | 64 |
| 17 | PANTANI Marco | 58 |
| 19 | BELOHVOŠČIKS Raivis | 70 |