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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REBOUL Robert | 72 |
| 3 | RICH Lucien | 61 |
| 4 | ALAVOINE Jean | 73 |
| 5 | MOULET Fernand | 79 |
| 6 | ALANCOURT Arsène | 62 |
| 8 | LEJEUNE Emile | 77 |
| 9 | CLAERHOUT Arthur | 82 |
| 11 | SAMYN Julien | 71 |
| 13 | ARCHELAIS Jean | 64 |
| 14 | DAVOINE Georges | 73 |
| 21 | MAZZIOTTA André | 63 |
| 23 | SIMONET Marcel | 58 |
| 25 | VERNANT Marcel | 72 |