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 = -0.4 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GODEFROOT Walter | 73 |
| 3 | KREKELS Jan | 73 |
| 5 | OVION Régis | 64 |
| 7 | DUCREUX Daniel | 65 |
| 10 | GAIDA Alfred | 65 |
| 12 | MOURIOUX Jacques | 71 |
| 13 | TSCHAN Jürgen | 68 |
| 23 | DEMEYER Marc | 85 |
| 30 | POLLENTIER Michel | 62 |
| 41 | MORTENSEN Leif | 70 |
| 44 | MARTIN Raymond | 62 |
| 45 | VAN IMPE Lucien | 59 |
| 46 | ZOETEMELK Joop | 68 |
| 70 | SCHLECK Johny | 72 |