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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEENSEN André | 65 |
| 3 | MALACARNE Davide | 63 |
| 4 | CUMMINGS Steve | 73 |
| 5 | BELLEMAKERS Dirk | 75 |
| 6 | GILBERT Philippe | 75 |
| 8 | SCHMITZ Bram | 77 |
| 10 | DAVIS Allan | 73 |
| 11 | CHEULA Giampaolo | 62 |
| 12 | DE KORT Koen | 69 |
| 13 | BAKELANTS Jan | 67 |
| 14 | DE GENDT Thomas | 73 |
| 15 | STAMSNIJDER Tom | 76 |
| 16 | VAN EMDEN Jos | 78 |
| 17 | TJALLINGII Maarten | 81 |
| 18 | LINDEMAN Bert-Jan | 69 |