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 = 1.1 * weight - 37
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | ABRAHAMIAN Stéphane | 57 |
| 9 | STEEVENS Harry | 73 |
| 13 | ROSIERS Roger | 78 |
| 20 | DUCREUX Daniel | 65 |
| 34 | VASSEUR Alain | 67 |
| 35 | MOURIOUX Jacques | 71 |
| 39 | PETTERSSON Erik | 67 |
| 45 | KREKELS Jan | 73 |
| 51 | SCHUTZ Edy | 72 |
| 55 | PETTERSSON Tomas | 69 |
| 69 | JANSEN Harrie | 70 |
| 71 | MORTENSEN Leif | 70 |
| 72 | HARRISON Derek | 73 |