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 = 2.1 * weight - 119
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MERCKX Eddy | 74 |
| 6 | ZOETEMELK Joop | 68 |
| 7 | VAN IMPE Lucien | 59 |
| 9 | MORTENSEN Leif | 70 |
| 10 | TAMAMES Agustín | 66 |
| 12 | SCHUTZ Edy | 72 |
| 19 | KREKELS Jan | 73 |
| 31 | VASSEUR Alain | 67 |
| 33 | KARSTENS Gerben | 74 |
| 42 | SCHLECK Johny | 72 |
| 49 | DÍAZ Ventura | 72 |
| 50 | SWERTS Roger | 75 |
| 63 | BRACKE Ferdinand | 79 |
| 77 | PETTERSSON Tomas | 69 |