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 = 0.7 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERNAUDEAU Jean-René | 64 |
| 5 | KUIPER Hennie | 69 |
| 10 | MARTIN Raymond | 62 |
| 11 | BOURREAU Bernard | 63 |
| 12 | NILSSON Sven-Åke | 63 |
| 27 | DE VLAEMINCK Roger | 74 |
| 32 | RAAS Jan | 72 |
| 33 | DEMEYER Marc | 85 |
| 34 | VAN VLIET Leo | 65 |
| 36 | SCHEPERS Eddy | 60 |