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 = -1.3 * weight + 121
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOETEMELK Joop | 68 |
| 3 | MERCKX Eddy | 74 |
| 5 | POULIDOR Raymond | 71 |
| 7 | KUIPER Hennie | 69 |
| 8 | MORTENSEN Leif | 70 |
| 9 | LASA Miguel María | 68 |
| 14 | GIMONDI Felice | 78 |
| 20 | DIERICKX André | 74 |
| 28 | SZURKOWSKI Ryszard | 77 |
| 44 | KARSTENS Gerben | 74 |
| 45 | DUCREUX Daniel | 65 |
| 46 | RODRÍGUEZ Martín Emilio | 70 |
| 47 | GAIDA Alfred | 65 |
| 55 | BOURREAU Bernard | 63 |
| 61 | MYTNIK Tadeusz | 75 |
| 68 | ALGERI Pietro | 69 |
| 71 | GILSON Roger | 70 |