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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOUGALL Nic | 72 |
| 2 | GILBERT Philippe | 75 |
| 3 | DENNIS Rohan | 72 |
| 4 | KÜNG Stefan | 83 |
| 5 | BEVIN Patrick | 75 |
| 6 | CARUSO Damiano | 67 |
| 7 | ROUX Anthony | 73 |
| 8 | DUNNE Conor | 88 |
| 9 | BRÄNDLE Matthias | 80 |
| 10 | MATTHEWS Michael | 72 |
| 11 | ALBASINI Michael | 65 |
| 12 | BAKELANTS Jan | 67 |
| 13 | DUMOULIN Tom | 69 |
| 14 | TRENTIN Matteo | 74 |
| 15 | DUCHESNE Antoine | 75 |
| 16 | COSTA Rui | 69 |