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 = 0.9 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOURIOUX Jacques | 71 |
| 3 | DUCREUX Daniel | 65 |
| 4 | KREKELS Jan | 73 |
| 8 | GODEFROOT Walter | 73 |
| 22 | OVION Régis | 64 |
| 23 | POLLENTIER Michel | 62 |
| 24 | MORTENSEN Leif | 70 |
| 25 | GAIDA Alfred | 65 |
| 29 | ZOETEMELK Joop | 68 |
| 34 | MARTIN Raymond | 62 |
| 46 | VAN IMPE Lucien | 59 |
| 54 | TSCHAN Jürgen | 68 |
| 70 | DEMEYER Marc | 85 |
| 74 | SCHLECK Johny | 72 |