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 + 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | ZOETEMELK Joop | 68 |
| 3 | PETTERSSON Gösta | 75 |
| 6 | VAN IMPE Lucien | 59 |
| 7 | POULIDOR Raymond | 71 |
| 12 | BALMAMION Franco | 67 |
| 19 | SCHLECK Johny | 72 |
| 24 | SWERTS Roger | 75 |
| 26 | JANSSEN Jan | 76 |
| 29 | GODEFROOT Walter | 73 |
| 32 | DOLMAN Evert | 71 |
| 36 | PETTERSSON Tomas | 69 |
| 38 | SCHUTZ Edy | 72 |
| 40 | VASSEUR Alain | 67 |
| 45 | STEEVENS Harry | 73 |
| 58 | PARENTEAU Jean-Pierre | 68 |