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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COURTEILLE Arnaud | 62 |
| 2 | SCOTT Robert | 73 |
| 3 | SCOTT Jacob | 68 |
| 4 | ARCHIBALD John | 79 |
| 5 | HOLMES Matthew | 67 |
| 6 | FOUCHÉ James | 71 |
| 7 | VAN SCHIP Jan-Willem | 84 |
| 8 | HENNESSY Jacob | 80 |
| 9 | HIVERT Jonathan | 62 |
| 11 | VAN AVERMAET Greg | 74 |
| 12 | THWAITES Scott | 71 |
| 13 | DOULL Owain | 71 |
| 14 | STEWART Thomas | 71 |
| 15 | LAFAY Victor | 65 |
| 17 | VERMAERKE Kevin | 67 |
| 18 | DAWSON Christopher | 73 |
| 20 | IRIZAR Julen | 67 |