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 = -2.5 * weight + 225
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JANSSEN Jan | 76 |
| 6 | SCHLECK Johny | 72 |
| 13 | MERCKX Eddy | 74 |
| 18 | SWERTS Roger | 75 |
| 24 | PARENTEAU Jean-Pierre | 68 |
| 32 | POULIDOR Raymond | 71 |
| 35 | BALMAMION Franco | 67 |
| 37 | GODEFROOT Walter | 73 |
| 48 | DOLMAN Evert | 71 |
| 55 | SCHUTZ Edy | 72 |
| 65 | VASSEUR Alain | 67 |
| 71 | VAN IMPE Lucien | 59 |
| 86 | ZOETEMELK Joop | 68 |
| 88 | STEEVENS Harry | 73 |
| 91 | PETTERSSON Gösta | 75 |
| 92 | PETTERSSON Tomas | 69 |