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 = -1.7 * weight + 163
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOURIOUX Jacques | 71 |
| 3 | SWERTS Roger | 75 |
| 4 | MERCKX Eddy | 74 |
| 6 | DÍAZ Ventura | 72 |
| 26 | AJA Gonzalo | 66 |
| 36 | KREKELS Jan | 73 |
| 47 | ZOETEMELK Joop | 68 |
| 53 | POULIDOR Raymond | 71 |
| 57 | MARTIN Raymond | 62 |
| 59 | TSCHAN Jürgen | 68 |
| 60 | VASSEUR Alain | 67 |
| 66 | MORTENSEN Leif | 70 |
| 75 | TAMAMES Agustín | 66 |
| 77 | BRACKE Ferdinand | 79 |