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 + 164
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | DUCLOS-LASSALLE Gilbert | 73 |
| 30 | MARIE Thierry | 68 |
| 35 | BOMANS Carlo | 74 |
| 41 | INDURÁIN Miguel | 76 |
| 42 | LILHOLT Søren | 72 |
| 57 | NAVARRO Francisco | 77 |
| 70 | NEVENS Jan | 58 |
| 81 | MADIOT Marc | 68 |