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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEMUYSERE Joseph | 78 |
| 2 | BUSE Hermann | 74 |
| 4 | BONDUEL Frans | 74 |
| 7 | VAN BRUAENE Armand | 70 |
| 11 | MARTIN Hector | 66 |
| 14 | NITSCHKE Kurt | 78 |
| 16 | DECROIX Emile | 68 |
| 18 | VAN RYSSELBERGHE Bernard | 78 |
| 19 | GEYER Ludwig | 73 |
| 21 | BARTHÉLÉMY Albert | 70 |
| 22 | TAVERNE Omer | 72 |
| 32 | SIERONSKI Herbert | 78 |
| 35 | DICTUS Frans | 74 |