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 = -1.4 * weight + 132
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AHLSTRAND Jonas | 72 |
| 6 | LAMBERT-LEMAY Simon | 81 |
| 11 | LUDVIGSSON Tobias | 76 |
| 12 | METLUSHENKO Yuri | 82 |
| 13 | MENZIES Karl | 86 |
| 18 | ROTH Ryan | 70 |
| 28 | DUCHESNE Antoine | 75 |
| 33 | HOULE Hugo | 72 |
| 38 | CLARKE Jonathan | 68 |
| 47 | EUSER Lucas | 56 |
| 54 | DE MAAR Marc | 70 |
| 56 | BLACKGROVE Heath | 65 |
| 65 | LEA Bobby | 77 |
| 66 | ROSSKOPF Joey | 74 |