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 = 2.8 * weight - 150
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN IMPE Lucien | 59 |
| 5 | ZOETEMELK Joop | 68 |
| 10 | OVION Régis | 64 |
| 16 | POLLENTIER Michel | 62 |
| 18 | MARTIN Raymond | 62 |
| 35 | MORTENSEN Leif | 70 |
| 38 | DUCREUX Daniel | 65 |
| 39 | TSCHAN Jürgen | 68 |
| 55 | SCHLECK Johny | 72 |
| 57 | GODEFROOT Walter | 73 |
| 66 | MOURIOUX Jacques | 71 |
| 69 | KREKELS Jan | 73 |
| 71 | DEMEYER Marc | 85 |
| 72 | GAIDA Alfred | 65 |