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 + 44
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANGEL Laurent | 83 |
| 23 | GÉRARD Arnaud | 70 |
| 24 | ZONNEVELD Thijs | 63 |
| 26 | LAMPATER Leif | 75 |
| 35 | DEIGNAN Philip | 65 |
| 38 | TASHIRO Yasutaka | 54 |
| 40 | LODER Thierry | 62 |
| 44 | MORIN Anthony | 79 |
| 48 | BENGSCH Robert | 85 |
| 50 | HELMINEN Matti | 74 |