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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNUDSEN Knut | 79 |
| 1 | PRIM Tommy | 76 |
| 2 | RAAS Jan | 72 |
| 2 | VAN VLIET Leo | 65 |
| 3 | PRIEM Cees | 75 |
| 3 | VAN DEN HOEK Aad | 77 |
| 4 | HEIRWEG Dirk | 73 |
| 5 | NILSSON Sven-Åke | 63 |
| 5 | BITTINGER René | 69 |
| 6 | KUIPER Hennie | 69 |
| 6 | DUCLOS-LASSALLE Gilbert | 73 |
| 7 | DEMEYER Marc | 85 |
| 7 | DIERICKX André | 74 |
| 10 | MARTIN Raymond | 62 |
| 12 | SUTTER Ueli | 70 |
| 16 | DEMIERRE Serge | 70 |