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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Mads | 76 |
| 2 | HOFSTETTER Hugo | 66 |
| 3 | BOASSON HAGEN Edvald | 75 |
| 4 | BETTIOL Alberto | 69 |
| 5 | BURGAUDEAU Mathieu | 61 |
| 6 | LAWLESS Chris | 72 |
| 7 | GANNA Filippo | 83 |
| 8 | THOMAS Benjamin | 68 |
| 9 | VAN AVERMAET Greg | 74 |
| 10 | SKUJIŅŠ Toms | 70 |
| 11 | SWIFT Connor | 75 |
| 12 | LATOUR Pierre | 66 |
| 13 | CARAPAZ Richard | 62 |
| 15 | DUCHESNE Antoine | 75 |