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 = -2.2 * weight + 172
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | DE VLAEMINCK Roger | 74 |
| 5 | GODEFROOT Walter | 73 |
| 11 | DIERICKX André | 74 |
| 12 | MOURIOUX Jacques | 71 |
| 26 | DE BRAUWERE Lucien | 63 |
| 27 | GILSON Roger | 70 |
| 29 | HERMANS Gustaaf | 71 |