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 = -7.4 * weight + 783
This means that on average for every extra kilogram weight a rider loses -7.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | SWERTS Roger | 75 |
| 4 | POULIDOR Raymond | 71 |
| 4 | ZOETEMELK Joop | 68 |
| 5 | ROSIERS Roger | 78 |
| 6 | RODRÍGUEZ Martín Emilio | 70 |
| 6 | GIMONDI Felice | 78 |
| 7 | MORTENSEN Leif | 70 |
| 9 | DIERICKX André | 74 |
| 10 | BOURREAU Bernard | 63 |
| 11 | KUIPER Hennie | 69 |
| 12 | NOWICKI Mieczysław | 74 |
| 990 | SZURKOWSKI Ryszard | 77 |
| 990 | DUCREUX Daniel | 65 |
| 990 | LASA Miguel María | 68 |
| 990 | MYTNIK Tadeusz | 75 |