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 = -1.7 * weight + 134
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | MOSER Francesco | 79 |
| 3 | MERCKX Eddy | 74 |
| 4 | GAVAZZI Pierino | 67 |
| 7 | CONTI Tino | 79 |
| 8 | PETTERSSON Gösta | 75 |
| 24 | BARONCHELLI Gianbattista | 72 |
| 28 | RODRÍGUEZ Martín Emilio | 70 |
| 37 | ALGERI Pietro | 69 |