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 = 0.5 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUCLOS-LASSALLE Gilbert | 73 |
| 4 | PRIM Tommy | 76 |
| 6 | KNUDSEN Knut | 79 |
| 10 | NILSSON Sven-Åke | 63 |
| 12 | VAN VLIET Leo | 65 |
| 13 | KUIPER Hennie | 69 |
| 14 | THALER Klaus-Peter | 60 |
| 18 | MAERTENS Freddy | 65 |
| 25 | DIERICKX André | 74 |
| 33 | DEMIERRE Serge | 70 |
| 36 | DEMEYER Marc | 85 |
| 46 | HEIRWEG Dirk | 73 |