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 = -2.5 * weight + 215
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 6 | PETTERSSON Gösta | 75 |
| 9 | KNUDSEN Knut | 79 |
| 11 | GIMONDI Felice | 78 |
| 20 | RODRÍGUEZ Martín Emilio | 70 |
| 26 | BARONCHELLI Gianbattista | 72 |
| 36 | PARECCHINI Aldo | 71 |
| 38 | RICCOMI Walter | 66 |
| 48 | CONTI Tino | 79 |
| 51 | GAVAZZI Pierino | 67 |
| 55 | BIDDLE Bruce | 64 |
| 58 | ONGARATO Franco | 73 |
| 61 | ALGERI Pietro | 69 |